R-universe search: bank

gshs-ornl

wbstats:Programmatic Access to Data and Statistics from the World Bank API

Search and download data from the World Bank Data API.

Maintained by Jesse Piburn. Last updated 4 years ago.

open-data world-bank world-bank-api worldbank

50.1 match 126 stars 10.06 score 1.1k scripts 3 dependents

thinkr-open

bank:Extra Cache

More cache backends.

Maintained by Colin Fay. Last updated 2 years ago.

cache golemverse shiny

55.0 match 12 stars 2.78 score 6 scripts

m-muecke

bbk:Client for Central Bank APIs

A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), and the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>).

Maintained by Maximilian Mücke. Last updated 13 days ago.

api bundesbank central-bank deutsche-bundesbank ecb european-central-bank smdx swiss-national-bank

26.6 match 3 stars 4.71 score 3 scripts

tidyverse

tidyr:Tidy Messy Data

Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).

Maintained by Hadley Wickham. Last updated 13 days ago.

tidy-data cpp

5.3 match 1.4k stars 22.88 score 168k scripts 5.5k dependents

wilsonfreitas

rbcb:R Interface to Brazilian Central Bank Web Services

The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through 'rbcb' functions and can be obtained in different data structures common to R ('tibble', 'data.frame', 'xts', ...).

Maintained by Wilson Freitas. Last updated 1 years ago.

brazilian-data central-bank central-banking cross-currency-rates currency-rates download-currency-rates exchange-rate financial-data time-series

18.4 match 92 stars 6.23 score 184 scripts

tidy-intelligence

wbwdi:Seamless Access to World Bank World Development Indicators (WDI)

Access and analyze the World Bank’s World Development Indicators (WDI) using the corresponding API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. WDI provides more than 24,000 country or region-level indicators for various contexts. 'wbwdi' enables users to download, process and work with WDI series across multiple countries, aggregates, and time periods.

Maintained by Christoph Scheuch. Last updated 18 days ago.

economic-data

19.2 match 4 stars 5.48 score 4 scripts

deepayan

lattice:Trellis Graphics for R

A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.

Maintained by Deepayan Sarkar. Last updated 11 months ago.

6.0 match 68 stars 17.33 score 27k scripts 13k dependents

r-simmer

simmer:Discrete-Event Simulation for R

A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in 'C++' with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type. Documentation about 'simmer' is provided by several vignettes included in this package, via the paper by Ucar, Smeets & Azcorra (2019, <doi:10.18637/jss.v090.i02>), and the paper by Ucar, Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>); see 'citation("simmer")' for details.

Maintained by Iñaki Ucar. Last updated 6 months ago.

discrete-event simulation cpp

8.9 match 223 stars 11.47 score 440 scripts 6 dependents

m-muecke

worldbank:Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs

Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.

Maintained by Maximilian Mücke. Last updated 7 days ago.

api indicators poverty worldbank worldbank-api

19.9 match 5 stars 4.86 score 6 scripts

nik01010

openbankeR:R Client for Querying the UK 'Open Banking' ('Open Data') API

Creates a client with queries for the UK 'Open Banking' ('Open Data') API. API wrapper around <https://openbankinguk.github.io/opendata-api-docs-pub>.

Maintained by Nik Lilovski. Last updated 3 years ago.

bank client data openbanking openbanking-api opendata opendata-api

19.0 match 6 stars 4.48 score 6 scripts

svmiller

stevedata:Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.

Maintained by Steve Miller. Last updated 4 days ago.

14.2 match 8 stars 5.97 score 178 scripts

openintrostat

openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.

Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.

data openintro

7.2 match 240 stars 11.39 score 6.0k scripts

teal-insights

wbids:Seamless Access to World Bank International Debt Statistics (IDS)

Access and analyze the World Bank's International Debt Statistics (IDS) <https://datacatalog.worldbank.org/search/dataset/0038015>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.

Maintained by Teal Emery. Last updated 9 days ago.

11.6 match 7 stars 5.96 score 9 scripts

katilingban

paleta:Collection of Palettes, Themes, and Theme Components

A collection of palettes, themes, and theme components based on publicly available branding guidelines of various non-governmental organisations, government agencies, and United Nations units.

Maintained by Ernest Guevarra. Last updated 2 months ago.

14.6 match 2 stars 4.48 score 8 scripts

jonathanlees

ProfessR:Grades Setting and Exam Maker

Programs to determine student grades and create examinations from Question banks. Programs will create numerous multiple choice exams, randomly shuffled, for different versions of same question list.

Maintained by Jonathan M. Lees. Last updated 2 years ago.

22.0 match 2.91 score 41 scripts

foucher-y

RISCA:Causal Inference and Prediction in Cohort-Based Analyses

Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.

Maintained by Yohann Foucher. Last updated 24 days ago.

14.4 match 1 stars 4.33 score 47 scripts

iangow

farr:Data and Code for Financial Accounting Research

Handy functions and data to support a course book for accounting research. Gow, Ian D. and Tongqing Ding (2024) 'Empirical Research in Accounting: Tools and Methods' <https://iangow.github.io/far_book/>.

Maintained by Ian Gow. Last updated 1 months ago.

accounting finance

11.8 match 17 stars 5.05 score 66 scripts

nowosad

spData:Datasets for Spatial Analysis

Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.

Maintained by Jakub Nowosad. Last updated 2 months ago.

datasets raster sf sp spatial spdep

4.0 match 82 stars 13.23 score 3.4k scripts 116 dependents

vincentarelbundock

WDI:World Development Indicators and Other World Bank Data

Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.

Maintained by Vincent Arel-Bundock. Last updated 6 months ago.

5.2 match 212 stars 9.88 score 1.4k scripts 4 dependents

banking-analytics-lab

EMP:Expected Maximum Profit Classification Performance Measure

Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014) <DOI:10.1109/TKDE.2012.50>, <DOI:10.1016/j.ejor.2014.04.001>.

Maintained by Cristian Bravo. Last updated 6 years ago.

13.3 match 1 stars 3.70 score 6 scripts

nvelden

NGLVieweR:Interactive 3D Visualization of Molecular Structures

Provides an 'htmlwidgets' <https://www.htmlwidgets.org/> interface to 'NGL.js' <http://nglviewer.org/ngl/api/>. 'NGLvieweR' can be used to visualize and interact with protein databank ('PDB') and structural files in R and Shiny applications. It includes a set of API functions to manipulate the viewer after creation in Shiny.

Maintained by Niels van der Velden. Last updated 4 months ago.

ngl nglviewer pdb protein-data-bank shiny shiny-applications

6.7 match 47 stars 7.19 score 55 scripts 1 dependents

albgarre

biogrowth:Modelling of Population Growth

Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).

Maintained by Alberto Garre. Last updated 2 days ago.

6.9 match 5 stars 6.71 score 44 scripts

visbanking

fdicdata:Accessing FDIC Bank Data

A system provides a set of functions for working with data from the Federal Deposit Insurance Corporation (FDIC), including retrieving financial data for FDIC-insured institutions and accessing the data taxonomy.

Maintained by Ugur Dar. Last updated 2 years ago.

11.9 match 9 stars 3.65 score 3 scripts

colearendt

tidyjson:Tidy Complex 'JSON'

Turn complex 'JSON' data into tidy data frames.

Maintained by Cole Arendt. Last updated 2 years ago.

3.8 match 192 stars 10.64 score 522 scripts 7 dependents

moderndive

moderndive:Tidyverse-Friendly Introductory Linear Regression

Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.

Maintained by Albert Y. Kim. Last updated 3 months ago.

3.5 match 88 stars 11.35 score 1.8k scripts

odelmarcelle

sentopics:Tools for Joint Sentiment and Topic Analysis of Textual Data

A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.

Maintained by Olivier Delmarcelle. Last updated 2 months ago.

openblas cpp openmp

7.0 match 8 stars 5.38 score 5 scripts

tarnduong

ks:Kernel Smoothing

Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Maintained by Tarn Duong. Last updated 6 months ago.

3.6 match 6 stars 10.14 score 920 scripts 262 dependents

abielr

pdfetch:Fetch Economic and Financial Time Series Data from Public Sources

Download economic and financial time series from public sources, including the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics, the US Energy Information Administration, the World Bank, Eurostat, the European Central Bank, the Bank of England, the UK's Office of National Statistics, Deutsche Bundesbank, and INSEE.

Maintained by Abiel Reinhart. Last updated 3 months ago.

6.2 match 16 stars 5.80 score 113 scripts

covid19datahub

COVID19:COVID-19 Data Hub

Unified datasets for a better understanding of COVID-19.

Maintained by Emanuele Guidotti. Last updated 27 days ago.

2019-ncov coronavirus covid-19 covid-data covid19-data

3.3 match 252 stars 11.08 score 265 scripts

enricoschumann

SNBdata:Download Data from the Swiss National Bank (SNB)

Download data (tables and datasets) from the Swiss National Bank (SNB; <https://www.snb.ch/en>), the Swiss central bank. The package is lightweight and comes with few dependencies; suggested packages are used only if data is to be transformed into particular data structures, for instance into 'zoo' objects. Downloaded data can optionally be cached, to avoid repeated downloads of the same files.

Maintained by Enrico Schumann. Last updated 1 years ago.

central-bank

13.0 match 2.70 score

robjhyndman

fma:Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)

All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998) <https://robjhyndman.com/forecasting/>.

Maintained by Rob Hyndman. Last updated 1 years ago.

3.8 match 19 stars 8.74 score 336 scripts 2 dependents

tidymodels

broom:Convert Statistical Objects into Tidy Tibbles

Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.

Maintained by Simon Couch. Last updated 4 months ago.

modeling tidy-data

1.5 match 1.5k stars 21.56 score 37k scripts 1.4k dependents

jameslamb

lightgbm:Light Gradient Boosting Machine

Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. This package offers an R interface to work with it. It is designed to be distributed and efficient with the following advantages: 1. Faster training speed and higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported. 5. Capable of handling large-scale data. In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple machines.

Maintained by James Lamb. Last updated 1 months ago.

cpp openmp

3.8 match 1 stars 8.47 score 1.6k scripts 6 dependents

paulrougieux

FAOSTAT:Download Data from the FAOSTAT Database

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.

Maintained by Paul Rougieux. Last updated 7 months ago.

6.0 match 5.30 score 132 scripts

cbhurley

gclus:Clustering Graphics

Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package contains various indices of merit, ordering functions, and enhanced versions of pairs and parcoord which color panels according to their merit level.

Maintained by Catherine Hurley. Last updated 6 years ago.

3.8 match 8.23 score 406 scripts 82 dependents

cran

bayesm:Bayesian Inference for Marketing/Micro-Econometrics

Covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate Mixtures of Normals (including clustering), Dirichlet Process Prior Density Estimation with normal base, Hierarchical Linear Models with normal prior and covariates, Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates, Hierarchical Negative Binomial Regression Models, Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear instrumental variables models, Analysis of Multivariate Ordinal survey data with scale usage heterogeneity (as in Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009) For further reference, consult our book, Bayesian Statistics and Marketing by Rossi, Allenby and McCulloch (Wiley first edition 2005 and second forthcoming) and Bayesian Non- and Semi-Parametric Methods and Applications (Princeton U Press 2014).

Maintained by Peter Rossi. Last updated 1 years ago.

openblas cpp

3.8 match 20 stars 8.20 score 322 scripts 43 dependents

jrnold

ggthemes:Extra Themes, Scales and Geoms for 'ggplot2'

Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.

Maintained by Jeffrey B. Arnold. Last updated 1 years ago.

data-visualisation ggplot2 ggplot2-themes plot plotting theme visualization

1.9 match 1.3k stars 16.17 score 40k scripts 102 dependents

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

3.3 match 7 stars 9.11 score 1.3k scripts 6 dependents

robjhyndman

fpp2:Data for "Forecasting: Principles and Practice" (2nd Edition)

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <https://otexts.com/fpp2/>. All packages required to run the examples are also loaded.

Maintained by Rob Hyndman. Last updated 2 years ago.

data forecasting

3.5 match 106 stars 8.57 score 1.8k scripts 1 dependents

lissandrosousa

BacenAPI:Tools for Accessing and Using Data from the Central Bank of Brazil

Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis.

Maintained by Lissandro Sousa. Last updated 9 days ago.

8.8 match 3.40 score

dsstoffer

astsa:Applied Statistical Time Series Analysis

Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <https://link.springer.com/book/9783031705830>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <DOI:10.1201/9780429273285>.

Maintained by David Stoffer. Last updated 2 months ago.

3.8 match 7 stars 7.88 score 2.2k scripts 8 dependents

robjhyndman

fpp3:Data for "Forecasting: Principles and Practice" (3rd Edition)

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.

Maintained by Rob Hyndman. Last updated 6 months ago.

data forecasting

3.4 match 142 stars 8.47 score 2.5k scripts

sbgraves237

Ecdat:Data Sets for Econometrics

Data sets for econometrics, including political science.

Maintained by Spencer Graves. Last updated 4 months ago.

4.0 match 2 stars 7.25 score 740 scripts 3 dependents

business-science

correlationfunnel:Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel

Speeds up exploratory data analysis (EDA) by providing a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response). Uses binary correlation analysis to determine relationship. Default correlation method is the Pearson method. Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014) <doi:10.1145/2637484>.

Maintained by Matt Dancho. Last updated 1 years ago.

correlation exploratory-analysis exploratory-data-analysis exploratory-data-visualizations tidyverse

4.0 match 137 stars 7.20 score 115 scripts

rntq472

RBNZ:Download Data from the Reserve Bank of New Zealand Website

Provides a convenient way of accessing data published by the Reserve Bank of New Zealand (RBNZ) on their website, <https://www.rbnz.govt.nz/statistics>. A range of financial and economic data is provided in spreadsheet format including exchange and interest rates, commercial lending statistics, Reserve Bank market operations, financial institution statistics, household financial data, New Zealand debt security information, and economic indicators. This package provides a method to download those spreadsheets and read them directly into R.

Maintained by Jasper Watson. Last updated 2 years ago.

7.1 match 2 stars 4.00 score 4 scripts

cran

GE:General Equilibrium Modeling

Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.

Maintained by Wu LI. Last updated 2 months ago.

10.5 match 1 stars 2.64 score

foucher-y

survivalSL:Super Learner for Survival Prediction from Censored Data

Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.

Maintained by Yohann Foucher. Last updated 2 months ago.

7.5 match 2 stars 3.70 score

benkeser

nlpred:Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples

Methods for obtaining improved estimates of non-linear cross-validated risks are obtained using targeted minimum loss-based estimation, estimating equations, and one-step estimation (Benkeser, Petersen, van der Laan (2019), <doi:10.1080/01621459.2019.1668794>). Cross-validated area under the receiver operating characteristics curve (LeDell, Petersen, van der Laan (2015), <doi:10.1214/15-EJS1035>) and other metrics are included.

Maintained by David Benkeser. Last updated 3 years ago.

auc cross-validation estimating-equations machine-learning tmle

6.6 match 3 stars 4.18 score 6 scripts

rsquaredacademy

blorr:Tools for Developing Binary Logistic Regression Models

Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.

Maintained by Aravind Hebbali. Last updated 4 months ago.

logistic-regression-models regression cpp

3.8 match 17 stars 7.13 score 144 scripts 1 dependents

rstudio

learnr:Interactive Tutorials for R

Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.

Maintained by Garrick Aden-Buie. Last updated 6 months ago.

interactive python rmarkdown shiny sql teaching tutorial

1.8 match 713 stars 14.79 score 6.5k scripts 27 dependents

antongagin

BBEST:Bayesian Estimation of Incoherent Neutron Scattering Backgrounds

We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines. The description of the corresponding approach could be found at Gagin and Levin (2014) <DOI:10.1107/S1600576714023796>.

Maintained by Anton Gagin. Last updated 4 years ago.

13.3 match 2.00 score 4 scripts

ropenspain

tidyBdE:Download Data from Bank of Spain

Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.

Maintained by Diego H. Herrero. Last updated 1 months ago.

api bde ggplot2 macroeconomics ropenspain series-data spain

4.1 match 11 stars 6.46 score 14 scripts

joachim-gassen

ExPanDaR:Explore Your Data Interactively

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.

Maintained by Joachim Gassen. Last updated 4 years ago.

accounting eda exploratory-data-analysis finance open-science replication shiny shiny-apps

3.3 match 156 stars 7.80 score 203 scripts

kjhealy

gssrdoc:Document General Social Survey Variable

The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.

Maintained by Kieran Healy. Last updated 11 months ago.

11.1 match 2.28 score 38 scripts

mattcowgill

readrba:Download and Tidy Data from the Reserve Bank of Australia

Download up-to-date data from the Reserve Bank of Australia in a tidy data frame. Package includes functions to download current and historical statistical tables (<https://www.rba.gov.au/statistics/tables/>) and forecasts (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data includes a broad range of Australian macroeconomic and financial time series.

Maintained by Matt Cowgill. Last updated 4 months ago.

3.4 match 27 stars 6.62 score 26 scripts

mariaguilleng

boostingDEA:A Boosting Approach to Data Envelopment Analysis

Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).

Maintained by Maria D. Guillen. Last updated 2 years ago.

5.5 match 2 stars 4.00 score 3 scripts

ntguardian

CPAT:Change Point Analysis Tests

Implements several statistical tests for structural change, specifically the tests featured in Horváth, Rice and Miller (in press): CUSUM (with weighted/trimmed variants), Darling-Erdös, Hidalgo-Seo, Andrews, and the new Rényi-type test.

Maintained by Curtis Miller. Last updated 6 years ago.

change point statistics tests cpp

4.0 match 11 stars 5.37 score 43 scripts

pik-piam

mrdrivers:Create GDP and Population Scenarios

Create GDP and population scenarios This package constructs the GDP and population scenarios used as drivers in both the REMIND and MAgPIE models.

Maintained by Johannes Koch. Last updated 24 days ago.

3.4 match 6.38 score 5 scripts 19 dependents

shichenxie

pedquant:Public Economic Data and Quantitative Analysis

Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, Sina, Eastmoney and etc. It also provides quantitative functions for trading strategies based on the 'data.table', 'TTR', 'PerformanceAnalytics' and etc packages.

Maintained by Shichen Xie. Last updated 2 days ago.

3.8 match 59 stars 5.70 score 34 scripts

huacheng1985

catR:Generation of IRT Response Patterns under Computerized Adaptive Testing

Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Barrada (2017) <doi:10.18637/jss.v076.c01>).

Maintained by Cheng Hua. Last updated 3 years ago.

5.3 match 3 stars 4.03 score 107 scripts 1 dependents

rsquaredacademy

rbin:Tools for Binning Data

Manually bin data using weight of evidence and information value. Includes other binning methods such as equal length, quantile and winsorized. Options for combining levels of categorical data are also available. Dummy variables can be generated based on the bins created using any of the available binning methods. References: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>.

Maintained by Aravind Hebbali. Last updated 4 months ago.

binning logistic-regression woe-and-iv woebinning

3.8 match 13 stars 5.54 score 53 scripts

pbiecek

SmarterPoland:Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl

Tools for accessing and processing datasets prepared by the Foundation SmarterPoland.pl. Among all: access to API of Google Maps, Central Statistical Office of Poland, MojePanstwo, Eurostat, WHO and other sources.

Maintained by Przemyslaw Biecek. Last updated 2 years ago.

3.6 match 8 stars 5.67 score 196 scripts 2 dependents

manueleleonelli

bnRep:A Repository of Bayesian Networks from the Academic Literature

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. For details see <https://github.com/manueleleonelli/bnRep>.

Maintained by Manuele Leonelli. Last updated 6 months ago.

4.0 match 5 stars 5.10 score 7 scripts

igorlaltuf

bndesr:Access Data from the Brazilian Development Bank (BNDES)

Allows access to data on BNDES disbursements and contracts since 1995. The package makes it easy to import data from the bank into R.<https://www.bndes.gov.br/SiteBNDES/bndes/bndes_en>.

Maintained by Igor Laltuf. Last updated 1 months ago.

6.7 match 3.00 score 4 scripts

schochastics

networkdata:Repository of Network Datasets

The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.

Maintained by David Schoch. Last updated 12 months ago.

dataset network-analysis

4.0 match 143 stars 5.01 score 143 scripts

agandy

systemicrisk:Systemic Risk and Network Reconstruction

Analysis of risk through liability matrices. Contains a Gibbs sampler for network reconstruction, where only row and column sums of the liabilities matrix as well as some other fixed entries are observed, following the methodology of Gandy&Veraart (2016) <doi:10.1287/mnsc.2016.2546>. It also incorporates models that use a power law distribution on the degree distribution.

Maintained by Axel Gandy. Last updated 11 months ago.

cpp

5.1 match 5 stars 3.88 score 51 scripts

saviviro

sstvars:Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models

Penalized and non-penalized maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2025) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2025) <doi:10.48550/arXiv.2404.19707>.

Maintained by Savi Virolainen. Last updated 17 days ago.

openblas cpp openmp

3.0 match 4 stars 6.36 score 41 scripts

fishr-core-team

FSAdata:Data to Support Fish Stock Assessment ('FSA') Package

The datasets to support the Fish Stock Assessment ('FSA') package.

Maintained by Derek Ogle. Last updated 2 years ago.

fish fisheries fisheries-stock-assessment fishr-website stock-assessment

3.3 match 13 stars 5.75 score 285 scripts

sebkrantz

collapse:Advanced and Fast Data Transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.

Maintained by Sebastian Krantz. Last updated 6 days ago.

data-aggregation data-analysis data-manipulation data-processing data-science data-transformation econometrics high-performance panel-data scientific-computing statistics time-series weighted weights cpp openmp

1.1 match 672 stars 16.63 score 708 scripts 97 dependents

kassambara

datarium:Data Bank for Statistical Analysis and Visualization

Contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.

Maintained by Alboukadel Kassambara. Last updated 30 days ago.

3.0 match 22 stars 6.29 score 358 scripts

uniprjrc

fsdaR:Robust Data Analysis Through Monitoring and Dynamic Visualization

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as a function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.

Maintained by Valentin Todorov. Last updated 1 years ago.

openjdk

3.5 match 5 stars 5.37 score 93 scripts

rmi-pacta

pacta.loanbook:Easily Install and Load PACTA for Banks Packages

PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool that allows banks to calculate the climate alignment of their corporate lending portfolios. This package is designed to make it easy to install and load multiple PACTA for Banks packages in a single step. It also provides thorough documentation - the PACTA for Banks cookbook at <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html> - on how to run a PACTA for Banks analysis. This covers prerequisites for the analysis, the separate steps of running the analysis, the interpretation of PACTA for Banks results, and advanced use cases.

Maintained by Jacob Kastl. Last updated 2 days ago.

4.0 match 1 stars 4.68 score 12 scripts

jverzani

UsingR:Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition

A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.

Maintained by John Verzani. Last updated 3 years ago.

3.8 match 1 stars 4.97 score 1.4k scripts

cran

timeDate:Rmetrics - Chronological and Calendar Objects

The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.

Maintained by Georgi N. Boshnakov. Last updated 6 months ago.

2.0 match 1 stars 9.25 score 944 scripts 708 dependents

seokhoonj

ecos:Economic Statistics System of the Bank of Korea

API wrapper to download statistical information from the Economic Statistics System (ECOS) of the Bank of Korea <https://ecos.bok.or.kr/api/#/>.

Maintained by Seokhoon Joo. Last updated 1 years ago.

5.3 match 6 stars 3.48 score 9 scripts

dkibalnikov

donutsk:Construct Advanced Donut Charts

Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.

Maintained by Dmitry Kibalnikov. Last updated 11 months ago.

3.5 match 6 stars 5.18 score 2 scripts

noaa-nwfsc

zoid:Bayesian Zero-and-One Inflated Dirichlet Regression Modelling

Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and overdispersion can optionally be included.

Maintained by Eric J. Ward. Last updated 11 months ago.

mixture-models nwfsc-cb stan cpp

3.1 match 8 stars 5.89 score 12 scripts

r-forge

stops:Structure Optimized Proximity Scaling

Methods that use flexible variants of multidimensional scaling (MDS) which incorporate parametric nonlinear distance transformations and trade-off the goodness-of-fit fit with structure considerations to find optimal hyperparameters, also known as structure optimized proximity scaling (STOPS) (Rusch, Mair & Hornik, 2023,<doi:10.1007/s11222-022-10197-w>). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different 1-way MDS models with ratio, interval, ordinal optimal scaling in a STOPS framework. These cover essentially the functionality of the package smacofx, including Torgerson (classical) scaling with power transformations of dissimilarities, SMACOF MDS with powers of dissimilarities, Sammon mapping with powers of dissimilarities, elastic scaling with powers of dissimilarities, spherical SMACOF with powers of dissimilarities, (ALSCAL) s-stress MDS with powers of dissimilarities, r-stress MDS, MDS with powers of dissimilarities and configuration distances, elastic scaling powers of dissimilarities and configuration distances, Sammon mapping powers of dissimilarities and configuration distances, power stress MDS (POST-MDS), approximate power stress, Box-Cox MDS, local MDS, Isomap, curvilinear component analysis (CLCA), curvilinear distance analysis (CLDA) and sparsified (power) multidimensional scaling and (power) multidimensional distance analysis (experimental models from smacofx influenced by CLCA). All of these models can also be fit by optimizing over hyperparameters based on goodness-of-fit fit only (i.e., no structure considerations). The package further contains functions for optimization, specifically the adaptive Luus-Jaakola algorithm and a wrapper for Bayesian optimization with treed Gaussian process with jumps to linear models, and functions for various c-structuredness indices.

Maintained by Thomas Rusch. Last updated 2 months ago.

openjdk

4.0 match 1 stars 4.48 score 23 scripts

r-forge

cops:Cluster Optimized Proximity Scaling

Multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027>). They achieve this by transforming proximities/distances with explicit power functions and penalizing the fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch, Hornik & Mair, 2018, <doi:10.1080/10618600.2017.1349664>). There are two variants: One for finding the configuration directly (COPS-C) for any Minkowski distance with given explicit power transformations and implicit ratio, interval and nonmetric optimal scaling transformations (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal hyperparameters for the explicit transformations (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different MDS models (most of the functionality in smacofx) in the COPS framework. The package further contains a function for pattern search optimization, the ``Adaptive Luus-Jaakola Algorithm'' (Rusch, Mair & Hornik, 2021,<doi:10.1080/10618600.2020.1869027>) and a functions to calculate the phi-distances for count data or histograms.

Maintained by Thomas Rusch. Last updated 2 months ago.

4.0 match 1 stars 4.48 score 23 scripts

stevecondylios

priceR:Economics and Pricing Tools

Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.

Maintained by Steve Condylios. Last updated 7 months ago.

data-science econometrics economics finance modeling r-programming statistics

2.4 match 59 stars 7.37 score 102 scripts

simontrimborn

gofCopula:Goodness-of-Fit Tests for Copulae

Several Goodness-of-Fit (GoF) tests for Copulae are provided. A new hybrid test, Zhang et al. (2016) <doi:10.1016/j.jeconom.2016.02.017> is implemented which supports all of the individual tests in the package, e.g. Genest et al. (2009) <doi:10.1016/j.insmatheco.2007.10.005>. Estimation methods for the margins are provided and all the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. For reproducibility of results, the functions support the definition of seeds. Also all the tests support automatized parallelization of the bootstrapping tasks. The package provides an interface to perform new GoF tests by submitting the test statistic.

Maintained by Simon Trimborn. Last updated 3 years ago.

5.5 match 3.16 score 29 scripts

expersso

ecb:Programmatic Access to the European Central Bank's Statistical Data Warehouse

Provides an interface to the 'European Central Bank's Statistical Data Warehouse' API <https://sdw.ecb.europa.eu/>, allowing for programmatic retrieval of a vast quantity of statistical data.

Maintained by Eric Persson. Last updated 2 years ago.

6.1 match 2.81 score 58 scripts

valerivoev

danstat:R Client for the Statistics Denmark Databank API

The purpose of the package is to enable an R function interface into the Statistics Denmark Databank API mainly for research purposes. The Statistics Denmark Databank API has four endpoints, see here for more information and testing the API in their console: <https://www.dst.dk/en/Statistik/brug-statistikken/muligheder-i-statistikbanken/api>. This package mimics the structure of the API and provides four main functions to match the functionality of the API endpoints.

Maintained by Valeri Voev. Last updated 3 years ago.

api data statistikbank-api

3.5 match 6 stars 4.73 score 18 scripts

ropensci

hydroscoper:Interface to the Greek National Data Bank for Hydrometeorological Information

R interface to the Greek National Data Bank for Hydrological and Meteorological Information. It covers Hydroscope's data sources and provides functions to transliterate, translate and download them into tidy dataframes.

Maintained by Konstantinos Vantas. Last updated 8 months ago.

climate greece hydrology hydrometeorology hydroscope meteorological-data meteorological-stations peer-reviewed tidy-data time-series water-resources

3.4 match 14 stars 4.97 score 33 scripts

merliseclyde

bark:Bayesian Additive Regression Kernels

Bayesian Additive Regression Kernels (BARK) provides an implementation for non-parametric function estimation using Levy Random Field priors for functions that may be represented as a sum of additive multivariate kernels. Kernels are located at every data point as in Support Vector Machines, however, coefficients may be heavily shrunk to zero under the Cauchy process prior, or even, set to zero. The number of active features is controlled by priors on precision parameters within the kernels, permitting feature selection. For more details see Ouyang, Z (2008) "Bayesian Additive Regression Kernels", Duke University. PhD dissertation, Chapter 3 and Wolpert, R. L, Clyde, M.A, and Tu, C. (2011) "Stochastic Expansions with Continuous Dictionaries Levy Adaptive Regression Kernels, Annals of Statistics Vol (39) pages 1916-1962 <doi:10.1214/11-AOS889>.

Maintained by Merlise Clyde. Last updated 5 months ago.

bayesian classification levy-processes nonparametric-regression prediction regression openblas cpp

4.0 match 1 stars 4.18 score 15 scripts

jared-fowler

prettyglm:Pretty Summaries of Generalized Linear Model Coefficients

One of the main advantages of using Generalised Linear Models is their interpretability. The goal of 'prettyglm' is to provide a set of functions which easily create beautiful coefficient summaries which can readily be shared and explained. 'prettyglm' helps users create coefficient summaries which include categorical base levels, variable importance and type III p.values. 'prettyglm' also creates beautiful relativity plots for categorical, continuous and splined coefficients.

Maintained by Jared Fowler. Last updated 1 years ago.

classification classification-model data-science data-visualization glm linear-models regression regression-analysis regression-model regression-models statistical-models

3.5 match 3 stars 4.73 score 36 scripts

enricoschumann

BISdata:Download Data from the Bank for International Settlements (BIS)

Functions for downloading data from the Bank for International Settlements (BIS; <https://www.bis.org/>) in Basel. Supported are only full datasets in (typically) CSV format. The package is lightweight and without dependencies; suggested packages are used only if data is to be transformed into particular data structures, for instance into 'zoo' objects. Downloaded data can optionally be cached, to avoid repeated downloads of the same files.

Maintained by Enrico Schumann. Last updated 5 months ago.

5.2 match 1 stars 3.18 score 1 scripts

stefanangrick

BIS:Programmatic Access to Bank for International Settlements Data

Provides an interface to data provided by the Bank for International Settlements <https://www.bis.org>, allowing for programmatic retrieval of a large quantity of (central) banking data.

Maintained by Stefan Angrick. Last updated 2 months ago.

3.7 match 2 stars 4.38 score 24 scripts

jrodu

qqboxplot:Implementation of the Q-Q Boxplot

A system to implement the Q-Q boxplot. It is implemented as an extension to 'ggplot2'. The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot and allows the user to rapidly examine summary statistics and tail behavior for multiple distributions in the same pane. As an extension of the 'ggplot2' implementation of the boxplot, possible modifications to the boxplot extend to the Q-Q boxplot.

Maintained by Jordan Rodu. Last updated 2 years ago.

3.4 match 2 stars 4.76 score 29 scripts

jeromeecoac

seewave:Sound Analysis and Synthesis

Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses. See Sueur et al. (2008) <doi:10.1080/09524622.2008.9753600> and Sueur (2018) <doi:10.1007/978-3-319-77647-7>.

Maintained by Jerome Sueur. Last updated 1 years ago.

1.8 match 18 stars 8.88 score 880 scripts 23 dependents

msperlin

GetBCBData:Imports Datasets from BCB (Central Bank of Brazil) using Its Official API

Downloads and organizes datasets using BCB's API <https://www.bcb.gov.br/>. Offers options for caching with the 'memoise' package and , multicore/multisession with 'furrr' and format of output data (long/wide).

Maintained by Marcelo Perlin. Last updated 9 days ago.

2.8 match 16 stars 5.75 score 70 scripts

stefanangrick

BOJ:Interface to Bank of Japan Statistics

Provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.

Maintained by Stefan Angrick. Last updated 2 months ago.

3.7 match 4 stars 4.30 score

fabsig

gpboost:Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.

Maintained by Fabio Sigrist. Last updated 26 days ago.

cpp openmp

3.8 match 4.20 score 212 scripts

r-forge

smacofx:Flexible Multidimensional Scaling and 'smacof' Extensions

Flexible multidimensional scaling (MDS) methods and extensions to the package 'smacof'. This package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different flexible MDS models. These are: Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459) with powers, Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678>) with ratio and interval optimal scaling, Multiscale MDS (Ramsay, 1977, <doi:10.1007/BF02294052>) with ratio and interval optimal scaling, s-stress MDS (ALSCAL; Takane, Young & De Leeuw, 1977, <doi:10.1007/BF02293745>) with ratio and interval optimal scaling, elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>) with ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair, 2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval, splines and nonmetric optimal scaling, power-stress MDS (POST-MDS; Buja & Swayne, 2002 <doi:10.1007/s00357-001-0031-0>) with ratio and interval optimal scaling, restricted power-stress (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027>) with ratio and interval optimal scaling, approximate power-stress with ratio optimal scaling (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027>), Box-Cox MDS (Chen & Buja, 2013, <https://jmlr.org/papers/v14/chen13a.html>), local MDS (Chen & Buja, 2009, <doi:10.1198/jasa.2009.0111>), curvilinear component analysis (Demartines & Herault, 1997, <doi:10.1109/72.554199>), curvilinear distance analysis (Lee, Lendasse & Verleysen, 2004, <doi:10.1016/j.neucom.2004.01.007>), nonlinear MDS with optimal dissimilarity powers functions (De Leeuw, 2024, <https://github.com/deleeuw/smacofManual/blob/main/smacofPO/smacofPO.pdf>), sparsified (power) MDS and sparsified multidimensional (power) distance analysis (Rusch, 2024, <doi:10.57938/355bf835-ddb7-42f4-8b85-129799fc240e>). Some functions are suitably flexible to allow any other sensible combination of explicit power transformations for weights, distances and input proximities with implicit ratio, interval, splines or nonmetric optimal scaling of the input proximities. Most functions use a Majorization-Minimization algorithm. Currently the methods are only available for one-mode data (symmetric dissimilarity matrices).

Maintained by Thomas Rusch. Last updated 2 months ago.

4.0 match 1 stars 3.89 score 2 dependents

haghbinh

Rfssa:Functional Singular Spectrum Analysis

Methods and tools for implementing functional singular spectrum analysis and related techniques.

Maintained by Hossein Haghbin. Last updated 1 years ago.

cpp

3.6 match 7 stars 4.30 score 19 scripts

jmm34

bayess:Bayesian Essentials with R

Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.

Maintained by Jean-Michel Marin. Last updated 1 years ago.

3.8 match 3 stars 4.01 score 68 scripts

rezamoammadi

liver:"Eating the Liver of Data Science"

Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.

Maintained by Reza Mohammadi. Last updated 4 months ago.

3.8 match 4.00 score 67 scripts

profpetrie

regclass:Tools for an Introductory Class in Regression and Modeling

Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.

Maintained by Adam Petrie. Last updated 5 years ago.

3.8 match 3.90 score 301 scripts 1 dependents

risktoollib

RTL:Risk Tool Library - Trading, Risk, Analytics for Commodities

A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to <https://commodities.morningstar.com/#/>, <https://developer.genscape.com/>, and <https://www.bankofcanada.ca/valet/docs>.

Maintained by Philippe Cote. Last updated 18 days ago.

analytics api commodities commodities-api finance genscape morningstar python risk-management cpp

1.9 match 30 stars 7.51 score 198 scripts

karlines

LIM:Linear Inverse Model Examples and Solution Methods

Functions that read and solve linear inverse problems (food web problems, linear programming problems). These problems find solutions to linear or quadratic functions: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi) subject to equality constraints Ex=f and inequality constraints Gx>=h.

Maintained by Karline Soetaert. Last updated 1 years ago.

3.3 match 4.28 score 32 scripts 1 dependents

bjw34032

waveslim:Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing

Basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The code provided here is based on wavelet methodology developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All figures in chapters 4-7 of GSW (2001) are reproducible using this package and R code available at the book website(s) below.

Maintained by Brandon Whitcher. Last updated 10 months ago.

wavelets

1.8 match 3 stars 7.88 score 108 scripts 23 dependents

eflores89

banxicoR:Download Data from the Bank of Mexico

Provides functions to scrape IQY calls to Bank of Mexico, downloading and ordering the data conveniently.

Maintained by Eduardo Flores. Last updated 7 years ago.

3.7 match 11 stars 3.74 score 7 scripts

cran

sgeostat:An Object-Oriented Framework for Geostatistical Modeling in S+

An Object-oriented Framework for Geostatistical Modeling in S+ containing functions for variogram estimation, variogram fitting and kriging as well as some plot functions. Written entirely in S, therefore works only for small data sets in acceptable computing time.

Maintained by Albrecht Gebhardt. Last updated 9 years ago.

fortran

4.0 match 1 stars 3.42 score 23 dependents

ajrgodfrey

BrailleR:Improved Access for Blind Users

Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.

Maintained by A. Jonathan R. Godfrey. Last updated 11 months ago.

1.5 match 123 stars 8.90 score 143 scripts

alsabtay

ATAforecasting:Automatic Time Series Analysis and Forecasting using the Ata Method

The Ata method (Yapar et al. (2019) <doi:10.15672/hujms.461032>), an alternative to exponential smoothing (described in Yapar (2016) <doi:10.15672/HJMS.201614320580>, Yapar et al. (2017) <doi:10.15672/HJMS.2017.493>), is a new univariate time series forecasting method which provides innovative solutions to issues faced during the initialization and optimization stages of existing forecasting methods. Forecasting performance of the Ata method is superior to existing methods both in terms of easy implementation and accurate forecasting. It can be applied to non-seasonal or seasonal time series which can be decomposed into four components (remainder, level, trend and seasonal). This methodology performed well on the M3 and M4-competition data. This package was written based on Ali Sabri Taylan’s PhD dissertation.

Maintained by Ali Sabri Taylan. Last updated 2 years ago.

ata ataforecasting fable forecast forecasting time-series cpp

3.4 match 5 stars 3.88 score 4 scripts 1 dependents

szymanskir

rnbp:Wrapper for the National Bank of Poland API

Use the <http://api.nbp.pl/> API through R. Retrieve currency exchange rates and gold prices data published by the National Bank of Poland in form of convenient R objects.

Maintained by Ryszard Szymanski. Last updated 4 years ago.

3.5 match 3.70 score 4 scripts

statswithr

statsr:Companion Software for the Coursera Statistics with R Specialization

Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.

Maintained by Merlise Clyde. Last updated 4 years ago.

bayesian-inference coursera statistics

1.6 match 71 stars 7.80 score 880 scripts

d-score

dscore:D-Score for Child Development

The D-score summarizes the child's performance on a set of milestones into a single number. The package implements four Rasch model keys to convert milestone scores into a D-score. It provides tools to calculate the D-score and its precision from the child's milestone scores, to convert the D-score into the Development-for-Age Z-score (DAZ) using age-conditional references, and to map milestone names into a generic 9-position item naming convention.

Maintained by Stef van Buuren. Last updated 7 months ago.

child-development d-score daz developmental-trajectories growth-charts rasch-model cpp

1.8 match 8 stars 6.89 score 40 scripts

aviralvijay-gslab

nonet:Weighted Average Ensemble without Training Labels

It provides ensemble capabilities to supervised and unsupervised learning models predictions without using training labels. It decides the relative weights of the different models predictions by using best models predictions as response variable and rest of the mo. User can decide the best model, therefore, It provides freedom to user to ensemble models based on their design solutions.

Maintained by Aviral Vijay. Last updated 6 years ago.

3.6 match 1 stars 3.41 score 17 scripts

jocelynchi

L2E:Robust Structured Regression via the L2 Criterion

An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0.

Maintained by Jocelyn Chi. Last updated 3 years ago.

4.5 match 2.70 score 2 scripts

cran

AFR:Toolkit for Regression Analysis of Kazakhstan Banking Sector Data

Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. The package includes functions from existing R packages adapted for banking sector of Kazakhstan. The purpose of the package is to optimize statistical functions for easier interpretation for bank analysts and non-statisticians.

Maintained by Sultan Zhaparov. Last updated 6 months ago.

3.7 match 3.18 score

ropengov

retroharmonize:Ex Post Survey Data Harmonization

Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.

Maintained by Daniel Antal. Last updated 2 months ago.

ropengov

1.5 match 10 stars 7.62 score 59 scripts

mlverse

torchdatasets:Ready to Use Extra Datasets for Torch

Provides datasets in a format that can be easily consumed by torch 'dataloaders'. Handles data downloading from multiple sources, caching and pre-processing so users can focus only on their model implementations.

Maintained by Daniel Falbel. Last updated 5 days ago.

2.0 match 15 stars 5.65 score 99 scripts

ycroissant

pder:Panel Data Econometrics with R

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

Maintained by Yves Croissant. Last updated 3 years ago.

8.3 match 1.36 score 15 scripts

arilamstein

choroplethr:Simplify the Creation of Choropleth Maps in R

Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.

Maintained by Ari Lamstein. Last updated 1 years ago.

1.6 match 3 stars 6.85 score 860 scripts 1 dependents

ropensci

tradestatistics:Open Trade Statistics API Wrapper and Utility Program

Access 'Open Trade Statistics' API from R to download international trade data.

Maintained by Mauricio Vargas. Last updated 7 months ago.

api-wrapper data-table international-trade jsonlite open-trade-statistics

1.5 match 77 stars 7.15 score 92 scripts

felixfan

FinCal:Time Value of Money, Time Series Analysis and Computational Finance

Package for time value of money calculation, time series analysis and computational finance.

Maintained by Felix Yanhui Fan. Last updated 8 years ago.

1.7 match 23 stars 6.02 score 203 scripts 1 dependents

miguel-sorrel

cdcatR:Cognitive Diagnostic Computerized Adaptive Testing

Provides a set of functions for conducting cognitive diagnostic computerized adaptive testing applications (Chen, 2009) <DOI:10.1007/s11336-009-9123-2>). It includes different item selection rules such us the global discrimination index (Kaplan, de la Torre, and Barrada (2015) <DOI:10.1177/0146621614554650>) and the nonparametric selection method (Chang, Chiu, and Tsai (2019) <DOI:10.1177/0146621618813113>), as well as several stopping rules. Functions for generating item banks and responses are also provided. To guide item bank calibration, model comparison at the item level can be conducted using the two-step likelihood ratio test statistic by Sorrel, de la Torre, Abad and Olea (2017) <DOI:10.1027/1614-2241/a000131>.

Maintained by Miguel A. Sorrel. Last updated 3 years ago.

2.8 match 5 stars 3.63 score 17 scripts

andrea-luciani

bimets:Time Series and Econometric Modeling

Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.

Maintained by Andrea Luciani. Last updated 3 months ago.

econometrics optimal-control simultaneous-equations stochastic-simulation structural-equation-modeling time-series

1.6 match 15 stars 6.13 score 30 scripts

pachadotdev

economiccomplexity:Computational Methods for Economic Complexity

A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.

Maintained by Mauricio Vargas Sepulveda. Last updated 3 months ago.

economic-complexity eigenvalues eigenvectors graphs international-trade matrix networks recursive-algorithm openblas cpp openmp

1.5 match 39 stars 6.32 score 18 scripts

emf-creaf

medfateland:Mediterranean Landscape Simulation

Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.

Maintained by Miquel De Cáceres. Last updated 25 days ago.

cpp

1.8 match 5 stars 5.41 score 41 scripts

jla-data

czechrates:Czech Interest & Foreign Exchange Rates

Interface to interest and foreign exchange rates published by the Czech National Bank.

Maintained by Jindra Lacko. Last updated 11 months ago.

2.4 match 1 stars 4.00 score 3 scripts

runkelcorey

valet:Provide R Client to the Bank of Canada's Valet API

The Bank of Canada updated their Valet API <https://www.bankofcanada.ca/valet/docs>, and no R client currently exists. This provides access to all of Valet's endpoints and serves responses in wide format easy for researchers to handle but also provides tools to access API responses as a list.

Maintained by Corey Runkel. Last updated 3 years ago.

3.4 match 2.70 score 2 scripts

pechiyappan

data360r:Wrapper for 'TCdata360' and 'Govdata360' API

Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdata360' platforms at <https://tcdata360.worldbank.org/> and <https://govdata360.worldbank.org/>, respectively. These application program interfaces provide access to over 5000 trade, competitiveness, and governance indicator data, metadata, and related information from sources both inside and outside the World Bank Group. Package functions include easier download of data sets, metadata, and related information, as well as searching based on user-inputted query.

Maintained by Ramin Aliyev. Last updated 3 years ago.

2.1 match 24 stars 4.08 score 9 scripts

robjhyndman

addb:Australian Demographic Data Bank

These data are from the Australian Demographic Data Bank. They can be plotted and analysed using the demography package.

Maintained by Rob Hyndman. Last updated 2 years ago.

3.7 match 4 stars 2.30 score

cran

NewmanOmics:Extending the Newman Studentized Range Statistic to Transcriptomics

Extends the classical Newman studentized range statistic in various ways that can be applied to genome-scale transcriptomic or other expression data.

Maintained by Kevin R. Coombes. Last updated 26 days ago.

3.5 match 2.38 score 12 scripts

cran

siebanxicor:Query Data Series from Bank of Mexico

Allows to retrieve time series of all indicators available in the Bank of Mexico's Economic Information System (<http://www.banxico.org.mx/SieInternet/>).

Maintained by Noé Palmerin. Last updated 6 years ago.

3.5 match 3 stars 2.36 score

cran

rPDBapi:A Comprehensive Interface for Accessing the Protein Data Bank

Streamlines the interaction with the 'RCSB' Protein Data Bank ('PDB') <https://www.rcsb.org/>. This interface offers an intuitive and powerful tool for searching and retrieving a diverse range of data types from the 'PDB'. It includes advanced functionalities like BLAST and sequence motif queries. Built upon the existing XML-based API of the 'PDB', it simplifies the creation of custom requests, thereby enhancing usability and flexibility for researchers.

Maintained by Selcuk Korkmaz. Last updated 5 months ago.

3.4 match 2.40 score 2 scripts

ropengov

psData:Download Regularly Maintained Political Science Data Sets

This R package includes functions for gathering commonly used and regularly maintained data set in political science. It also includes functions for combining components from these data sets into variables that have been suggested in the literature, but are not regularly maintained.

Maintained by Christopher Gandrud. Last updated 2 years ago.

ropengov

1.6 match 45 stars 4.95 score

rmi-pacta

pacta.multi.loanbook:Run 'PACTA' on Multiple Loan Books Easily

Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on multiple loan books in a structured way. Provides access to standard 'PACTA' metrics and additional 'PACTA'-related metrics for multiple loan books. Results take the form of 'csv' files and plots and are exported to user-specified project paths.

Maintained by Jacob Kastl. Last updated 2 days ago.

climate-change pacta pactaverse sustainable-finance

1.3 match 6.48 score 4 scripts

vathymut

dsos:Dataset Shift with Outlier Scores

Test for no adverse shift in two-sample comparison when we have a training set, the reference distribution, and a test set. The approach is flexible and relies on a robust and powerful test statistic, the weighted AUC. Technical details are in Kamulete, V. M. (2021) <arXiv:1908.04000>. Modern notions of outlyingness such as trust scores and prediction uncertainty can be used as the underlying scores for example.

Maintained by Vathy M. Kamulete. Last updated 2 years ago.

data-drift data-validation dataset-shifts drift-detection machine-learning mlops model-monitoring model-validation performance-monitoring statistical-process-control statistical-tests

1.6 match 2 stars 5.08 score 40 scripts

jestonblu

RobinHood:Interface for the RobinHood.com No Commission Investing Platform

Execute API calls to the RobinHood <https://robinhood.com> investing platform. Functionality includes accessing account data and current holdings, retrieving investment statistics and quotes, placing and canceling orders, getting market trading hours, searching investments by popular tag, and interacting with watch lists.

Maintained by Joseph Blubaugh. Last updated 2 years ago.

algotrading api robinhood robinhood-api trade

1.7 match 45 stars 4.58 score 17 scripts

pachadotdev

leontief:Input-Output Analysis

An implementation of the Input-Output model developed by Wassily Leontief that represents the interdependencies between different sectors of a national economy or different regional economies.

Maintained by Mauricio Vargas. Last updated 2 years ago.

input-output macroeconomics

1.6 match 14 stars 4.92 score 12 scripts

rjknell

Biostatistics:Statistics Tutorials for Biologists

Tutorials for statistics, aimed at biological scientists. Subjects range from basic descriptive statistics through to complex linear modelling. The tutorials include text, videos, interactive coding exercises and multiple choice quizzes. The package also includes 19 datasets which are used in the tutorials.

Maintained by Rob Knell. Last updated 3 years ago.

1.7 match 4.54 score 5 scripts

prabhanjan-tattar

ACSWR:A Companion Package for the Book "A Course in Statistics with R"

A book designed to meet the requirements of masters students. Tattar, P.N., Suresh, R., and Manjunath, B.G. "A Course in Statistics with R", J. Wiley, ISBN 978-1-119-15272-9.

Maintained by Prabhanjan Tattar. Last updated 10 years ago.

3.8 match 2.03 score 106 scripts

yuanchao-xu

gfer:Green Finance and Environmental Risk

Focuses on data collecting, analyzing and visualization in green finance and environmental risk research and analysis. Main function includes environmental data collecting from official websites such as MEP (Ministry of Environmental Protection of China, <https://www.mee.gov.cn>), water related projects identification and environmental data visualization.

Maintained by Yuanchao Xu. Last updated 3 months ago.

corporate-social-responsibility csr data-analysis data-scraping environmental-risk green-finance stock-data

1.6 match 8 stars 4.81 score 16 scripts

cran

npsf:Nonparametric and Stochastic Efficiency and Productivity Analysis

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell (1994) <doi:10.1017/CBO9780511551710>, Kneip, Simar, and Wilson (2008) <doi:10.1017/S0266466608080651> and Badunenko and Mozharovskyi (2020) <doi:10.1080/01605682.2019.1599778>) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) <doi:10.1017/CBO9781139174411>, Badunenko and Kumbhakar (2016) <doi:10.1016/j.ejor.2016.04.049>). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Maintained by Oleg Badunenko. Last updated 4 years ago.

cpp

7.2 match 1.00 score

cran

pdR:Threshold Model and Unit Root Tests in Cross-Section and Time Series Data

Threshold model, panel version of Hylleberg et al. (1990) <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.

Maintained by Ho Tsung-wu. Last updated 7 months ago.

3.6 match 4 stars 1.90 score

cran

fairml:Fair Models in Machine Learning

Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach from Scutari, Panero and Proissl (2022) <https://link.springer.com/content/pdf/10.1007/s11222-022-10143-w.pdf> that uses ridge regression to enforce fairness.

Maintained by Marco Scutari. Last updated 2 years ago.

4.5 match 1 stars 1.52 score 1 dependents

chrschellhase

pendensity:Density Estimation with a Penalized Mixture Approach

Estimation of univariate (conditional) densities using penalized B-splines with automatic selection of optimal smoothing parameter.

Maintained by Christian Schellhase. Last updated 6 years ago.

3.3 match 2.00 score 2 scripts

prabhanjan-tattar

gpk:100 Data Sets for Statistics Education

Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and M.B. Kulkarni of Department of Statistics, Poona University, India. With their permission, first letter of their names forms the name of this package, the package has been built by me and made available for the benefit of R users. This collection requires a rich class of models and can be a very useful building block for a beginner.

Maintained by Prabhanjan Tattar. Last updated 12 years ago.

3.8 match 1.69 score 49 scripts

pmair78

semds:Structural Equation Multidimensional Scaling

Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities. It assumes that the dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within an SEM framework while the objects are represented in a low-dimensional space as in MDS.

Maintained by Patrick Mair. Last updated 6 years ago.

6.0 match 1.00 score 7 scripts

peteryinr

YRmisc:Y&R Miscellaneous R Functions

Miscellaneous functions for data analysis, portfolio management, graphics, data manipulation, statistical investigation, including descriptive statistics, creating leading and lagging variables, portfolio return analysis, time series difference and percentage change calculation, stacking data for higher efficient analysis.

Maintained by Xuanhua (Peter) Yin. Last updated 5 years ago.

3.4 match 1.76 score 57 scripts

inzightvit

iNZightRegression:Tools for Exploring Regression Models with 'iNZight'

Provides a suite of functions to use with regression models, including summaries, residual plots, and factor comparisons. Used as part of the Model Fitting module of 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.

Maintained by Tom Elliott. Last updated 3 months ago.

1.6 match 3.78 score 6 scripts

lefeup

BoSSA:A Bunch of Structure and Sequence Analysis

Reads and plots phylogenetic placements.

Maintained by Pierre Lefeuvre. Last updated 4 years ago.

1.8 match 3.35 score 15 scripts

cran

SLBDD:Statistical Learning for Big Dependent Data

Programs for analyzing large-scale time series data. They include functions for automatic specification and estimation of univariate time series, for clustering time series, for multivariate outlier detections, for quantile plotting of many time series, for dynamic factor models and for creating input data for deep learning programs. Examples of using the package can be found in the Wiley book 'Statistical Learning with Big Dependent Data' by Daniel Peña and Ruey S. Tsay (2021). ISBN 9781119417385.

Maintained by Antonio Elias. Last updated 3 years ago.

3.6 match 1.56 score 12 scripts 1 dependents

statisticspoland

bdl:Interface and Tools for 'BDL' API

Interface to Local Data Bank ('Bank Danych Lokalnych' - 'bdl') API <https://api.stat.gov.pl/Home/BdlApi?lang=en> with set of useful tools like quick plotting and map generating using data from bank.

Maintained by Krzysztof Kania. Last updated 2 years ago.

1.0 match 20 stars 5.74 score 11 scripts

inzightvit

iNZightTS:Time Series for 'iNZight'

Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".

Maintained by Tom Elliott. Last updated 11 months ago.

1.6 match 1 stars 3.48 score 5 scripts

cran

mstR:Procedures to Generate Patterns under Multistage Testing

Generation of response patterns under dichotomous and polytomous computerized multistage testing (MST) framework. It holds various item response theory (IRT) and score-based methods to select the next module and estimate ability levels (Magis, Yan and von Davier (2017, ISBN:978-3-319-69218-0)).

Maintained by David Magis. Last updated 7 years ago.

3.6 match 3 stars 1.48 score

kjetil1001

Fahrmeir:Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz

Data and functions for the book "Multivariate Statistical Modelling Based on Generalized Linear Models", first edition, by Ludwig Fahrmeir and Gerhard Tutz. Useful when using the book.

Maintained by Kjetil B Halvorsen. Last updated 9 years ago.

3.5 match 1.41 score 26 scripts

philchalmers

mirtCAT:Computerized Adaptive Testing with Multidimensional Item Response Theory

Provides tools to generate HTML interfaces for adaptive and non-adaptive tests using the shiny package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests that contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying test item banks.

Maintained by Phil Chalmers. Last updated 5 months ago.

cat irt openblas cpp

0.5 match 95 stars 9.41 score 62 scripts 3 dependents

cran

pgmm:Parsimonious Gaussian Mixture Models

Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008) <doi:10.1007/s11222-008-9056-0>, McNicholas (2010) <doi:10.1016/j.jspi.2009.11.006>, McNicholas and Murphy (2010) <doi:10.1093/bioinformatics/btq498>, McNicholas et al. (2010) <doi:10.1016/j.csda.2009.02.011>.

Maintained by Paul D. McNicholas. Last updated 1 years ago.

openblas

1.6 match 1 stars 3.00 score 167 scripts 2 dependents

gl-li

ExamPAData:Data Sets for Predictive Analytics Exam

Contains all data sets for Exam PA: Predictive Analytics at <https://exampa.net/>.

Maintained by Guanglai Li. Last updated 3 years ago.

4.5 match 1.00 score

rjdverse

RJDemetra:Interface to 'JDemetra+' Seasonal Adjustment Software

Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.

Maintained by Alain Quartier-la-Tente. Last updated 10 days ago.

jdemetra openjdk

0.5 match 53 stars 8.67 score 128 scripts 5 dependents

jbhasse

SystemicR:Monitoring Systemic Risk

The past decade has demonstrated an increased need to better understand risks leading to systemic crises. This framework offers scholars, practitioners and policymakers a useful toolbox to explore such risks in financial systems. Specifically, this framework provides popular econometric and network measures to monitor systemic risk and to measure the consequences of regulatory decisions. These systemic risk measures are based on the frameworks of Adrian and Brunnermeier (2016) <doi:10.1257/aer.20120555> and Billio, Getmansky, Lo and Pelizzon (2012) <doi:10.1016/j.jfineco.2011.12.010>.

Maintained by Jean-Baptiste Hasse. Last updated 5 years ago.

3.4 match 2 stars 1.30 score 1 scripts

sgsokol

r2sundials:Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem

Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:10.1145/1089014.1089020>.

Maintained by Serguei Sokol. Last updated 8 months ago.

cpp

1.5 match 2 stars 2.78 score 3 scripts

ropensci

FedData:Download Geospatial Data Available from Several Federated Data Sources

Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (<https://daymet.ornl.gov/>; DAAC); the International Tree Ring Data Bank; the National Land Cover Database (<https://www.mrlc.gov/>; NLCD); the Cropland Data Layer from the National Agricultural Statistics Service (<https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>; NASS); and the PAD-US dataset of protected area boundaries (<https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview>; USGS).

Maintained by R. Kyle Bocinsky. Last updated 3 months ago.

peer-reviewed

0.5 match 100 stars 8.20 score 364 scripts

s915

rdbnomics:Download DBnomics Data

R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).

Maintained by Sebastien Galais. Last updated 4 years ago.

1.1 match 1 stars 3.77 score 118 scripts

nmecsys

BETS:Brazilian Economic Time Series

It provides access to and information about the most important Brazilian economic time series - from the Getulio Vargas Foundation <http://portal.fgv.br/en>, the Central Bank of Brazil <http://www.bcb.gov.br> and the Brazilian Institute of Geography and Statistics <http://www.ibge.gov.br>. It also presents tools for managing, analysing (e.g. generating dynamic reports with a complete analysis of a series) and exporting these time series.

Maintained by Talitha Speranza. Last updated 4 years ago.

0.5 match 38 stars 7.82 score 108 scripts

x13org

x13binary:Provide the 'x13ashtml' Seasonal Adjustment Binary

The US Census Bureau provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau offers both source and binary versions -- which this package integrates for use by other R packages.

Maintained by Dirk Eddelbuettel. Last updated 8 months ago.

fortran

0.5 match 10 stars 7.50 score 16 scripts 10 dependents

valentint

FRB:Fast and Robust Bootstrap

Perform robust inference based on applying Fast and Robust Bootstrap on robust estimators (Van Aelst and Willems (2013) <doi:10.18637/jss.v053.i03>). This method constitutes an alternative to ordinary bootstrap or asymptotic inference. procedures when using robust estimators such as S-, MM- or GS-estimators. The available methods are multivariate regression, principal component analysis and one-sample and two-sample Hotelling tests. It provides both the robust point estimates and uncertainty measures based on the fast and robust bootstrap.

Maintained by Valentin Todorov. Last updated 5 months ago.

3.6 match 1.00 score 5 scripts

coolbutuseless

c64vice:Interface to Binary Monitor in VICE C64 Emulator

Interface to the binary monitor in VICE - the c64 emulator.

Maintained by mikefc. Last updated 1 years ago.

1.7 match 2 stars 2.08 score 12 scripts

cran

MultiplierDEA:Multiplier Data Envelopment Analysis and Cross Efficiency

Functions are provided for calculating efficiency using multiplier DEA (Data Envelopment Analysis): Measuring the efficiency of decision making units (Charnes et al., 1978 <doi:10.1016/0377-2217(78)90138-8>) and cross efficiency using single and two-phase approach. In addition, it includes some datasets for calculating efficiency and cross efficiency.

Maintained by Aurobindh Kalathil Puthanpura. Last updated 3 years ago.

3.5 match 1 stars 1.00 score

cran

MLGdata:Datasets for Use with Salvan, Sartori and Pace (2020)

Contains the datasets for use with the book Salvan, Sartori and Pace (2020, ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".

Maintained by Nicola Sartori. Last updated 4 years ago.

3.5 match 1.00 score

pik-piam

mrwaste:Analysis and Projection of Municipal Solid Waste

Reads in waste data from What a Waste 2.0 and uses brms package to create future regressions based on GDP.

Maintained by David Meng-Chuen Chen. Last updated 9 months ago.

1.8 match 2.00 score

imranshakoor

DataSetsUni:A Collection of Univariate Data Sets

A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.

Maintained by Muhammad Imran. Last updated 2 years ago.

3.5 match 1.00 score 1 scripts

jansteinfeld

PP:Person Parameter Estimation

The PP package includes estimation of (MLE, WLE, MAP, EAP, ROBUST) person parameters for the 1,2,3,4-PL model and the GPCM (generalized partial credit model). The parameters are estimated under the assumption that the item parameters are known and fixed. The package is useful e.g. in the case that items from an item pool / item bank with known item parameters are administered to a new population of test-takers and an ability estimation for every test-taker is needed.

Maintained by Jan Steinfeld. Last updated 2 years ago.

irt person-parameter personfit cpp

0.5 match 1 stars 6.76 score 43 scripts 1 dependents

statistikat

simPop:Simulation of Complex Synthetic Data Information

Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v079.i10>) and Templ (2017) <doi:10.1007/978-3-319-50272-4>. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.

Maintained by Matthias Templ. Last updated 4 months ago.

cpp

0.5 match 31 stars 6.51 score 104 scripts

vsimko

rroad:Road Condition Analysis

Computation of the International Roughness Index (IRI) given a longitudinal road profile. The IRI can be calculated for a single road segment or for a sequence of segments with a fixed length (e. g. 100m). For the latter, an overlap of the segments can be selected. The IRI and likewise the algorithms for its determination are defined in Sayers, Michael W; Gillespie, Thomas D; Queiroz, Cesar A.V. 1986. The International Road Roughness Experiment (IRRE) : establishing correlation and a calibration standard for measurements. World Bank technical paper; no. WTP 45. Washington, DC : The World Bank. (ISBN 0-8213-0589-1) available from <http://documents.worldbank.org/curated/en/326081468740204115>.

Maintained by Viliam Simko. Last updated 5 years ago.

car index iri monitoring road-condition road-safety road-traffic roads roads-and-highways roughness

0.8 match 13 stars 4.11 score 7 scripts

aqlt

ggdemetra:'ggplot2' Extension for Seasonal and Trading Day Adjustment with 'RJDemetra'

Provides 'ggplot2' functions to return the results of seasonal and trading day adjustment made by 'RJDemetra'. 'RJDemetra' is an 'R' interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks.

Maintained by Alain Quartier-la-Tente. Last updated 7 months ago.

ggplot2 jdemetra openjdk

0.5 match 12 stars 6.06 score 16 scripts 1 dependents

mrbcuda

stressr:Fetch and plot financial stress index and component data.

Forms queries to submit to the Cleveland Federal Reserve Bank web site's financial stress index data site. Provides query functions for both the composite stress index and the components data. By default the download includes daily time series data starting September 25, 1991. The functions return a class of either type easing or cfsi which contain a list of items related to the query and its graphical presentation. The list includes the time series data as an xts object. The package provides four lattice time series plots to render the time series data in a manner similar to the bank's own presentation.

Maintained by Matt Barry. Last updated 11 years ago.

0.8 match 9 stars 3.83 score 15 scripts

cran

JFE:Tools for Analyzing Time Series Data of Just Finance and Econometrics

Offers procedures to support financial-economic time series modelling and enhanced procedures for computing the investment performance indices of Bacon (2004) <DOI:10.1002/9781119206309>.

Maintained by Ho Tsung-wu. Last updated 2 months ago.

1.7 match 2 stars 1.60 score

aqlt

rjwsacruncher:Interface to the 'JWSACruncher' of 'JDemetra+'

'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks. Seasonal adjustment models performed with 'JDemetra+' can be stored into workspaces. 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases> for v2 and <https://github.com/jdemetra/jdplus-main/releases> for v3) is a console tool that re-estimates all the multi-processing defined in a workspace and to export the result. 'rjwsacruncher' allows to launch easily the 'JWSACruncher'.

Maintained by Alain Quartier-la-Tente. Last updated 30 days ago.

jdemetra jwsacruncher

0.5 match 5 stars 5.23 score 17 scripts

datarapi

Rapi:Interface for Multiple Data Providers `EDDS` and `FRED`

Interface for multiple data sources, such as the `EDDS` API <https://evds2.tcmb.gov.tr/index.php?/evds/userDocs> of the Central Bank of the Republic of Türkiye and the `FRED` API <https://fred.stlouisfed.org/docs/api/fred/> of the Federal Reserve Bank. Both data providers require API keys for access, which users can easily obtain by creating accounts on their respective websites. The package provides caching ability with the selection of periods to increase the speed and efficiency of requests. It combines datasets requested from different sources, helping users when the data has common frequencies. While combining data frames whenever possible, it also keeps all requested data available as separate data frames to increase efficiency.

Maintained by Sermet Pekin. Last updated 2 months ago.

edds evds evds-api evdsapi fred cpp

0.8 match 1 stars 3.40 score 5 scripts

etaymaz

CBRT:CBRT Data on Turkish Economy

The Central Bank of the Republic of Turkey (CBRT) provides one of the most comprehensive time series databases on the Turkish economy. The 'CBRT' package provides functions for accessing the CBRT's electronic data delivery system <https://evds2.tcmb.gov.tr/>. It contains the lists of all data categories and data groups for searching the available variables (data series). As of November 3, 2024, there were 40,826 variables in the dataset. The lists of data categories and data groups can be updated by the user at any time. A specific variable, a group of variables, or all variables in a data group can be downloaded at different frequencies using a variety of aggregation methods.

Maintained by Erol Taymaz. Last updated 4 months ago.

0.5 match 7 stars 5.02 score 7 scripts

ropensci

concstats:Market Structure, Concentration and Inequality Measures

Based on individual market shares of all participants in a market or space, the package offers a set of different structural and concentration measures frequently - and not so frequently - used in research and in practice. Measures can be calculated in groups or individually. The calculated measure or the resulting vector in table format should help practitioners make more informed decisions. Methods used in this package are from: 1. Chang, E. J., Guerra, S. M., de Souza Penaloza, R. A. & Tabak, B. M. (2005) "Banking concentration: the Brazilian case". 2. Cobham, A. and A. Summer (2013). "Is It All About the Tails? The Palma Measure of Income Inequality". 3. Garcia Alba Idunate, P. (1994). "Un Indice de dominancia para el analisis de la estructura de los mercados". 4. Ginevicius, R. and S. Cirba (2009). "Additive measurement of market concentration" <doi:10.3846/1611-1699.2009.10.191-198>. 5. Herfindahl, O. C. (1950), "Concentration in the steel industry" (PhD thesis). 6. Hirschmann, A. O. (1945), "National power and structure of foreign trade". 7. Melnik, A., O. Shy, and R. Stenbacka (2008), "Assessing market dominance" <doi:10.1016/j.jebo.2008.03.010>. 8. Palma, J. G. (2006). "Globalizing Inequality: 'Centrifugal' and 'Centripetal' Forces at Work". 9. Shannon, C. E. (1948). "A Mathematical Theory of Communication". 10. Simpson, E. H. (1949). "Measurement of Diversity" <doi:10.1038/163688a0>.

Maintained by Andreas Schneider. Last updated 1 years ago.

business-analytics competition concentration diversity inequality package-development

0.5 match 7 stars 5.02 score 15 scripts

onnokleen

alfred:Downloading Time Series from ALFRED Database for Various Vintages

Provides direct access to the ALFRED (<https://alfred.stlouisfed.org>) and FRED (<https://fred.stlouisfed.org>) databases. Its functions return tidy data frames for different releases of the specified time series. Note that this product uses the FRED© API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.

Maintained by Onno Kleen. Last updated 2 years ago.

0.5 match 19 stars 4.82 score 69 scripts

discoleo

Rpdb:Read, Write, Visualize and Manipulate PDB Files

Provides tools to read, write, visualize Protein Data Bank (PDB) files and perform some structural manipulations.

Maintained by Leonard Mada. Last updated 26 days ago.

0.5 match 4.43 score 68 scripts

trnnick

curvir:Specify Reserve Demand Curves

Automatic specification and estimation of reserve demand curves for central bank operations. The package can help to choose the best demand curve and identify additional explanatory variables. Various plot and predict options are included. For more details, see Chen et al. (2023) <https://www.imf.org/en/Publications/WP/Issues/2023/09/01/Modeling-the-Reserve-Demand-to-Facilitate-Central-Bank-Operations-538754>.

Maintained by Nikolaos Kourentzes. Last updated 1 years ago.

0.8 match 2 stars 3.00 score

josesamos

moodef:Defining 'Moodle' Elements from R

The main objective of this package is to support the definition of 'Moodle' elements taking advantage of the power that R offers. In this first version, it allows the definition of quizzes to be included in the question bank.

Maintained by Jose Samos. Last updated 2 months ago.

openjdk

0.5 match 1 stars 4.30 score 4 scripts

sweinand

pricelevels:Spatial Price Level Comparisons

Price comparisons within or between countries provide an overall measure of the relative difference in prices, often denoted as price levels. This package provides index number methods for such price comparisons (e.g., The World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains functions for sampling and characterizing price data.

Maintained by Sebastian Weinand. Last updated 10 months ago.

index-numbers price-comparison spatial-analysis

0.5 match 4.30 score 2 scripts

inseefrlab

rjdworkspace:Manipulate 'JDemetra+' Workspaces

Set of tools to manipulate the 'JDemetra+' workspaces. Based on the 'RJDemetra' package (which interfaces with version 2 of the 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks). This package provides access to additional workspace manipulation functions such as metadata manipulation, raw paths and wrangling of several workspaces simultaneously. These additional functionalities are useful as part of a CVS data production chain.

Maintained by Tanguy Barthelemy. Last updated 2 months ago.

jdemetra rjdemetra workspace-management openjdk

0.5 match 1 stars 4.08 score 2 scripts

simonliles

protein8k:Perform Analysis and Create Visualizations of Proteins

Read Protein Data Bank (PDB) files, performs its analysis, and presents the result using different visualization types including 3D. The package also has additional capability for handling Virus Report data from the National Center for Biotechnology Information (NCBI) database.

Maintained by Simon Liles. Last updated 4 years ago.

pdb protein protein-structure

0.5 match 1 stars 4.00 score 4 scripts

bayerse

esback:Expected Shortfall Backtesting

Implementations of the expected shortfall backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> as well as other well known backtests from the literature. Can be used to assess the correctness of forecasts of the expected shortfall risk measure which is e.g. used in the banking and finance industry for quantifying the market risk of investments. A special feature of the backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> is that they only require forecasts of the expected shortfall, which is in striking contrast to all other existing backtests, making them particularly attractive for practitioners.

Maintained by Sebastian Bayer. Last updated 2 years ago.

backtesting expected-shortfall

0.5 match 12 stars 3.89 score 13 scripts

billchenxi

BMRBr:'BMRB' File Downloader

Nuclear magnetic resonance (NMR) is a highly versatile analytical technique for studying molecular configuration, conformation, and dynamics, especially those of biomacromolecules such as proteins. Biological Magnetic Resonance Data Bank ('BMRB') is a repository for Data from NMR Spectroscopy on Proteins, Peptides, Nucleic Acids, and other Biomolecules. Currently, 'BMRB' offers an R package 'RBMRB' to fetch data, however, it doesn't easily offer individual data file downloading and storing in a local directory. When using 'RBMRB', the data will stored as an R object, which fundamentally hinders the NMR researches to access the rich information from raw data, for example, the metadata. Here, 'BMRBr' File Downloader ('BMRBr') offers a more fundamental, low level downloader, which will download original deposited .str format file. This type of file contains information such as entry title, authors, citation, protein sequences, and so on. Many factors affect NMR experiment outputs, such as temperature, resonance sensitivity and etc., approximately 40% of the entries in the 'BMRB' have chemical shift accuracy problems [1,2] Unfortunately, current reference correction methods are heavily dependent on the availability of assigned protein chemical shifts or protein structure. This is my current research project is going to solve, which will be included in the future release of the package. The current version of the package is sufficient and robust enough for downloading individual 'BMRB' data file from the 'BMRB' database <http://www.bmrb.wisc.edu>. The functionalities of this package includes but not limited: * To simplifies NMR researches by combine data downloading and results analysis together. * To allows NMR data reaches a broader audience that could utilize more than just chemical shifts but also metadata. * To offer reference corrected data for entries without assignment or structure information (future release). Reference: [1] E.L. Ulrich, H. Akutsu, J.F. Doreleijers, Y. Harano, Y.E. Ioannidis, J. Lin, et al., BioMagResBank, Nucl. Acids Res. 36 (2008) D402–8. <doi:10.1093/nar/gkm957>. [2] L. Wang, H.R. Eghbalnia, A. Bahrami, J.L. Markley, Linear analysis of carbon-13 chemical shift differences and its application to the detection and correction of errors in referencing and spin system identifications, J. Biomol. NMR. 32 (2005) 13–22. <doi:10.1007/s10858-005-1717-0>.

Maintained by Xi Chen. Last updated 6 years ago.

0.5 match 1 stars 3.74 score 11 scripts

pedrocabraacela

macrocol:Colombian Macro-Financial Time Series Generator

This repository aims to contribute to the econometric models' production with Colombian data, by providing a set of web-scrapping functions of some of the main macro-financial indicators. All the sources are public and free, but the advantage of these functions is that they directly download and harmonize the information in R's environment. No need to import or download additional files. You only need an internet connection!

Maintained by Pedro Alejandro Cabra-Acela. Last updated 3 years ago.

1.8 match 1.00 score

gshs-ornl

revengc:Reverse Engineering Summarized Data

Decoupled (e.g. separate averages) and censored (e.g. > 100 species) variables are continually reported by many well-established organizations (e.g. World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), World Bank, and various national censuses). The challenge therefore is to infer what the original data could have been given summarized information. We present an R package that reverse engineers decoupled and/or censored count data with two main functions. The cnbinom.pars() function estimates the average and dispersion parameter of a censored univariate frequency table. The rec() function reverse engineers summarized data into an uncensored bivariate table of probabilities.

Maintained by Samantha Duchscherer. Last updated 6 years ago.

0.5 match 5 stars 3.44 score 11 scripts

enricoschumann

bundesbank:Download Data from Bundesbank

Download data from the time-series databases of the Bundesbank, the German central bank. See the overview at the Bundesbank website (<https://www.bundesbank.de/en/statistics/time-series-databases>) for available series. The package provides only a single function, getSeries(), which supports both traditional and real-time datasets; it will also download meta data if available. Downloaded data can automatically be arranged in various formats, such as data frames or 'zoo' series. The data may optionally be cached, so as to avoid repeated downloads of the same series.

Maintained by Enrico Schumann. Last updated 11 months ago.

0.5 match 2 stars 3.02 score 52 scripts

cran

iperform:Time Series Performance

A tool to calculate the performance of a time series in a specific date or period. It is more intended for data analysis in the fields of finance, banking, telecommunications or operational marketing.

Maintained by Patrick Ilunga. Last updated 1 years ago.

0.5 match 2.70 score

cleanzr

italy:The Italian Survey on Household and Wealth, 2008 and 2010

Provides two record linkage data sets on the Italian Survey on Household and Wealth, 2008 and 2010, a sample survey conducted by the Bank of Italy every two years. The 2010 survey covered 13,702 individuals, while the 2008 survey covered 13,734 individuals. The following categorical variables are included in this data set: year of birth, working status, employment status, branch of activity, town size, geographical area of birth, sex, whether or not Italian national, and highest educational level obtained. Unique identifiers are available to assess the accuracy of one’s method. Please see Steorts (2015) <DOI:10.1214/15-BA965SI> to find more details about the data set.

Maintained by Rebecca Steorts. Last updated 8 years ago.

data linkage

0.5 match 2.70 score 10 scripts

cran

YieldCurve:Modelling and Estimation of the Yield Curve

Modelling the yield curve with some parametric models. The models implemented are: Nelson, C.R., and A.F. Siegel (1987) <doi: 10.1086/296409>, Diebold, F.X. and Li, C. (2006) <doi: 10.1016/j.jeconom.2005.03.005> and Svensson, L.E. (1994) <doi: 10.3386/w4871>. The package also includes the data of the term structure of interest rate of Federal Reserve Bank and European Central Bank.

Maintained by Sergio Salvino Guirreri. Last updated 2 years ago.

0.8 match 5 stars 1.70 score

mashrur-ayon

genderstat:Quantitative Analysis Tools for Gender Studies

Provides tools for quantitative analysis in gender studies, including functions to calculate various gender inequality metrics such as the Gender Pay Gap, Gender Inequality Index (GII), Gender Development Index (GDI), and Gender Empowerment Measure (GEM). Also includes extracted secondary example datasets for practice and learning purposes, which were obtained from the UNDP Human Development Reports Data Center and the World Bank Gender Data Portal by the author the dataset is available on <doi:10.34740/kaggle/dsv/6359326>. References: Miller, Kevin; Vagins, Deborah J. (2021) <https://eric.ed.gov/?id=ED596219>. Jacques Charmes & Saskia Wieringa (2003) <doi:10.1080/1464988032000125773>. Gaëlle Ferrant (2010) <https://shs.hal.science/halshs-00462463/>.

Maintained by S M Mashrur Arafin Ayon. Last updated 8 months ago.

0.5 match 2.00 score 6 scripts

fernandoroa

shinyInvoice:Shiny App - Generate a Pdf Invoice with 'Rmarkdown'

Generate an invoice containing a header with invoice number and businesses details. The invoice table contains any of: salary, one-liner costs, grouped costs. Under the table signature and bank account details appear. Pages are numbered when more than one. Source .json and .Rmd files are editable in the app. A .csv file with raw data can be downloaded. This package includes functions for getting exchange rates between currencies based on 'quantmod' (Ryan and Ulrich, 2023 <https://CRAN.R-project.org/package=quantmod>).

Maintained by Fernando Roa. Last updated 12 months ago.

0.5 match 1.70 score

sebkrantz

ugatsdb:Uganda Time Series Database API

An R API providing easy access to a relational database with macroeconomic, financial and development related time series data for Uganda. Overall more than 5000 series at varying frequency (daily, monthly, quarterly, annual in fiscal or calendar years) can be accessed through the API. The data is provided by the Bank of Uganda, the Ugandan Ministry of Finance, Planning and Economic Development, the IMF and the World Bank. The database is being updated once a month.

Maintained by Sebastian Krantz. Last updated 2 years ago.

0.8 match 1.00 score 9 scripts

wongswk

compas:Conformational Manipulations of Protein Atomic Structures

Manipulate and analyze 3-D structural geometry of Protein Data Bank (PDB) files.

Maintained by Samuel W.K. Wong. Last updated 3 years ago.

cpp

0.5 match 1.00 score 6 scripts

maxwellhong

PsyControl:CUSUM Person Fit Statistics

Person fit statistics based on Quality Control measures are provided for questionnaires and tests given a specified IRT model. Statistics based on Cumulative Sum (CUSUM) charts are provided. Options are given for banks with polytomous and dichotomous data.

Maintained by Maxwell Hong. Last updated 8 years ago.

0.5 match 1.00 score 2 scripts

sebkrantz

samadb:South Africa Macroeconomic Database API

An R API providing access to a relational database with macroeconomic time series data for South Africa, obtained from the South African Reserve Bank (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis via the EconData <https://www.econdata.co.za/> platform and automated scraping of the SARB and STATSSA websites. The database is maintained at the Department of Economics at Stellenbosch University.

Maintained by Sebastian Krantz. Last updated 10 months ago.

0.5 match 1.00 score 2 scripts