Showing 197 of total 197 results (show query)
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-dataworld-bankworld-bank-apiworldbank
50.1 match 126 stars 10.06 score 1.1k scripts 3 dependentsthinkr-open
bank:Extra Cache
More cache backends.
Maintained by Colin Fay. Last updated 2 years ago.
55.0 match 12 stars 2.78 score 6 scriptsm-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.
apibundesbankcentral-bankdeutsche-bundesbankecbeuropean-central-banksmdxswiss-national-bank
26.6 match 3 stars 4.71 score 3 scriptstidyverse
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.
5.3 match 1.4k stars 22.88 score 168k scripts 5.5k dependentswilsonfreitas
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-datacentral-bankcentral-bankingcross-currency-ratescurrency-ratesdownload-currency-ratesexchange-ratefinancial-datatime-series
18.4 match 92 stars 6.23 score 184 scriptstidy-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.
19.2 match 4 stars 5.48 score 4 scriptsdeepayan
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 dependentsr-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.
8.9 match 223 stars 11.47 score 440 scripts 6 dependentsm-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.
apiindicatorspovertyworldbankworldbank-api
19.9 match 5 stars 4.86 score 6 scriptsnik01010
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.
bankclientdataopenbankingopenbanking-apiopendataopendata-api
19.0 match 6 stars 4.48 score 6 scriptssvmiller
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 scriptsopenintrostat
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.
7.2 match 240 stars 11.39 score 6.0k scriptsteal-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 scriptskatilingban
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 scriptsjonathanlees
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 scriptsiangow
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.
11.8 match 17 stars 5.05 score 66 scriptsnowosad
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.
datasetsrastersfspspatialspdep
4.0 match 82 stars 13.23 score 3.4k scripts 116 dependentsvincentarelbundock
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 dependentsbanking-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 scriptsnvelden
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.
nglnglviewerpdbprotein-data-bankshinyshiny-applications
6.7 match 47 stars 7.19 score 55 scripts 1 dependentsalbgarre
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 scriptsvisbanking
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 scriptscolearendt
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 dependentsmoderndive
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 scriptsodelmarcelle
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.
7.0 match 8 stars 5.38 score 5 scriptstarnduong
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 dependentsabielr
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 scriptscovid19datahub
COVID19:COVID-19 Data Hub
Unified datasets for a better understanding of COVID-19.
Maintained by Emanuele Guidotti. Last updated 27 days ago.
2019-ncovcoronaviruscovid-19covid-datacovid19-data
3.3 match 252 stars 11.08 score 265 scriptsenricoschumann
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.
13.0 match 2.70 scorerobjhyndman
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 dependentstidymodels
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.
1.5 match 1.5k stars 21.56 score 37k scripts 1.4k dependentsjameslamb
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.
3.8 match 1 stars 8.47 score 1.6k scripts 6 dependentspaulrougieux
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 scriptscbhurley
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 dependentsjrnold
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-visualisationggplot2ggplot2-themesplotplottingthemevisualization
1.9 match 1.3k stars 16.17 score 40k scripts 102 dependentsalanarnholt
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 dependentsrobjhyndman
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.
3.5 match 106 stars 8.57 score 1.8k scripts 1 dependentslissandrosousa
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 scoredsstoffer
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 dependentsrobjhyndman
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.
3.4 match 142 stars 8.47 score 2.5k scriptssbgraves237
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 dependentsbusiness-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.
correlationexploratory-analysisexploratory-data-analysisexploratory-data-visualizationstidyverse
4.0 match 137 stars 7.20 score 115 scriptsrntq472
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 scriptsfoucher-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 scorebenkeser
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.
auccross-validationestimating-equationsmachine-learningtmle
6.6 match 3 stars 4.18 score 6 scriptsrsquaredacademy
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-modelsregressioncpp
3.8 match 17 stars 7.13 score 144 scripts 1 dependentsrstudio
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.
interactivepythonrmarkdownshinysqlteachingtutorial
1.8 match 713 stars 14.79 score 6.5k scripts 27 dependentsantongagin
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 scriptsropenspain
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.
apibdeggplot2macroeconomicsropenspainseries-dataspain
4.1 match 11 stars 6.46 score 14 scriptsjoachim-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.
accountingedaexploratory-data-analysisfinanceopen-sciencereplicationshinyshiny-apps
3.3 match 156 stars 7.80 score 203 scriptskjhealy
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 scriptsmattcowgill
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 scriptsmariaguilleng
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 scriptsntguardian
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.
4.0 match 11 stars 5.37 score 43 scriptspik-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 dependentsshichenxie
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 scriptshuacheng1985
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 dependentsrsquaredacademy
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.
binninglogistic-regressionwoe-and-ivwoebinning
3.8 match 13 stars 5.54 score 53 scriptspbiecek
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 dependentsmanueleleonelli
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 scriptsigorlaltuf
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 scriptsschochastics
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.
4.0 match 143 stars 5.01 score 143 scriptsagandy
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.
5.1 match 5 stars 3.88 score 51 scriptssaviviro
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.
3.0 match 4 stars 6.36 score 41 scriptsfishr-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.
fishfisheriesfisheries-stock-assessmentfishr-websitestock-assessment
3.3 match 13 stars 5.75 score 285 scriptssebkrantz
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-aggregationdata-analysisdata-manipulationdata-processingdata-sciencedata-transformationeconometricshigh-performancepanel-datascientific-computingstatisticstime-seriesweightedweightscppopenmp
1.1 match 672 stars 16.63 score 708 scripts 97 dependentskassambara
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 scriptsuniprjrc
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.
3.5 match 5 stars 5.37 score 93 scriptsrmi-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 scriptsjverzani
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 scriptscran
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 dependentsseokhoonj
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 scriptsdkibalnikov
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 scriptsnoaa-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.
3.1 match 8 stars 5.89 score 12 scriptsstevecondylios
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-scienceeconometricseconomicsfinancemodelingr-programmingstatistics
2.4 match 59 stars 7.37 score 102 scriptssimontrimborn
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 scriptsexpersso
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 scriptsvalerivoev
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.
3.5 match 6 stars 4.73 score 18 scriptsropensci
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.
climategreecehydrologyhydrometeorologyhydroscopemeteorological-datameteorological-stationspeer-reviewedtidy-datatime-serieswater-resources
3.4 match 14 stars 4.97 score 33 scriptsmerliseclyde
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.
bayesianclassificationlevy-processesnonparametric-regressionpredictionregressionopenblascpp
4.0 match 1 stars 4.18 score 15 scriptsjared-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.
classificationclassification-modeldata-sciencedata-visualizationglmlinear-modelsregressionregression-analysisregression-modelregression-modelsstatistical-models
3.5 match 3 stars 4.73 score 36 scriptsenricoschumann
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 scriptsstefanangrick
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 scriptsjrodu
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 scriptsjeromeecoac
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 dependentsmsperlin
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 scriptsstefanangrick
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 scorefabsig
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.
3.8 match 4.20 score 212 scriptshaghbinh
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.
3.6 match 7 stars 4.30 score 19 scriptsjmm34
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 scriptsrezamoammadi
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 scriptsprofpetrie
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 dependentsrisktoollib
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.
analyticsapicommoditiescommodities-apifinancegenscapemorningstarpythonrisk-managementcpp
1.9 match 30 stars 7.51 score 198 scriptskarlines
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 dependentsbjw34032
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.
1.8 match 3 stars 7.88 score 108 scripts 23 dependentseflores89
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 scriptscran
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.
4.0 match 1 stars 3.42 score 23 dependentsajrgodfrey
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 scriptsalsabtay
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.
ataataforecastingfableforecastforecastingtime-seriescpp
3.4 match 5 stars 3.88 score 4 scripts 1 dependentsszymanskir
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 scriptsstatswithr
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-inferencecourserastatistics
1.6 match 71 stars 7.80 score 880 scriptsd-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-developmentd-scoredazdevelopmental-trajectoriesgrowth-chartsrasch-modelcpp
1.8 match 8 stars 6.89 score 40 scriptsaviralvijay-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 scriptsjocelynchi
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 scriptscran
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 scoreropengov
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.
1.5 match 10 stars 7.62 score 59 scriptsmlverse
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 scriptsycroissant
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 scriptsarilamstein
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 dependentsropensci
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-wrapperdata-tableinternational-tradejsonliteopen-trade-statistics
1.5 match 77 stars 7.15 score 92 scriptsfelixfan
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 dependentsmiguel-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 scriptsandrea-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.
econometricsoptimal-controlsimultaneous-equationsstochastic-simulationstructural-equation-modelingtime-series
1.6 match 15 stars 6.13 score 30 scriptspachadotdev
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-complexityeigenvalueseigenvectorsgraphsinternational-tradematrixnetworksrecursive-algorithmopenblascppopenmp
1.5 match 39 stars 6.32 score 18 scriptsemf-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.
1.8 match 5 stars 5.41 score 41 scriptsjla-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 scriptsrunkelcorey
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 scriptspechiyappan
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 scriptsrobjhyndman
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 scorecran
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 scriptscran
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 scorecran
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 scriptsropengov
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.
1.6 match 45 stars 4.95 scorermi-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-changepactapactaversesustainable-finance
1.3 match 6.48 score 4 scriptsvathymut
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-driftdata-validationdataset-shiftsdrift-detectionmachine-learningmlopsmodel-monitoringmodel-validationperformance-monitoringstatistical-process-controlstatistical-tests
1.6 match 2 stars 5.08 score 40 scriptsjestonblu
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.
algotradingapirobinhoodrobinhood-apitrade
1.7 match 45 stars 4.58 score 17 scriptspachadotdev
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.
1.6 match 14 stars 4.92 score 12 scriptsrjknell
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 scriptsprabhanjan-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 scriptsyuanchao-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-responsibilitycsrdata-analysisdata-scrapingenvironmental-riskgreen-financestock-data
1.6 match 8 stars 4.81 score 16 scriptscran
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 scorecran
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 dependentschrschellhase
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 scriptsprabhanjan-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 scriptspmair78
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 scriptspeteryinr
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 scriptsinzightvit
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 scriptslefeup
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 scriptscran
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 dependentsstatisticspoland
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 scriptsinzightvit
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 scriptscran
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 scorekjetil1001
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 scriptsphilchalmers
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.
0.5 match 95 stars 9.41 score 62 scripts 3 dependentscran
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.
1.6 match 1 stars 3.00 score 167 scripts 2 dependentsgl-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 scorerjdverse
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.
0.5 match 53 stars 8.67 score 128 scripts 5 dependentsjbhasse
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 scriptss915
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 scriptsnmecsys
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 scriptsx13org
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.
0.5 match 10 stars 7.50 score 16 scripts 10 dependentsvalentint
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 scriptscoolbutuseless
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 scriptscran
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 scorecran
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 scorepik-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 scoreimranshakoor
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 scriptsjansteinfeld
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.
irtperson-parameterpersonfitcpp
0.5 match 1 stars 6.76 score 43 scripts 1 dependentsstatistikat
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.
0.5 match 31 stars 6.51 score 104 scriptsvsimko
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.
carindexirimonitoringroad-conditionroad-safetyroad-trafficroadsroads-and-highwaysroughness
0.8 match 13 stars 4.11 score 7 scriptsaqlt
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.
0.5 match 12 stars 6.06 score 16 scripts 1 dependentsmrbcuda
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 scriptscran
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 scoreaqlt
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.
0.5 match 5 stars 5.23 score 17 scriptsdatarapi
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.
eddsevdsevds-apievdsapifredcpp
0.8 match 1 stars 3.40 score 5 scriptsetaymaz
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 scriptsropensci
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-analyticscompetitionconcentrationdiversityinequalitypackage-development
0.5 match 7 stars 5.02 score 15 scriptsonnokleen
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 scriptsdiscoleo
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 scriptstrnnick
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 scorejosesamos
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.
0.5 match 1 stars 4.30 score 4 scriptssweinand
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-numbersprice-comparisonspatial-analysis
0.5 match 4.30 score 2 scriptsinseefrlab
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.
jdemetrarjdemetraworkspace-managementopenjdk
0.5 match 1 stars 4.08 score 2 scriptssimonliles
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.
0.5 match 1 stars 4.00 score 4 scriptsbayerse
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.
0.5 match 12 stars 3.89 score 13 scriptspedrocabraacela
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 scoregshs-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 scriptsenricoschumann
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 scriptscran
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 scorecleanzr
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.
0.5 match 2.70 score 10 scriptscran
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 scoremashrur-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 scriptsfernandoroa
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 scoresebkrantz
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 scriptswongswk
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.
0.5 match 1.00 score 6 scriptsmaxwellhong
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 scriptssebkrantz
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