R-universe search: week

r-lib

clock:Date-Time Types and Tools

Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.

Maintained by Davis Vaughan. Last updated 2 days ago.

cpp

47.8 match 106 stars 14.48 score 296 scripts 407 dependents

kjhealy

gssrdoc:Document General Social Survey Variable

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

Maintained by Kieran Healy. Last updated 11 months ago.

141.0 match 2.28 score 38 scripts

reconhub

aweek:Convert Dates to Arbitrary Week Definitions

Which day a week starts depends heavily on the either the local or professional context. This package is designed to be a lightweight solution to easily switching between week-based date definitions.

Maintained by Zhian N. Kamvar. Last updated 4 years ago.

date-formatting dates epidemiology timeseries week

38.3 match 17 stars 7.91 score 117 scripts 14 dependents

josesamos

starschemar:Obtaining Stars from Flat Tables

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a star schema. Transformations can be carried out using professional extract, transform and load tools or tools intended for data transformation for end users. With the tools mentioned, this transformation can be carried out, but it requires a lot of work. The main objective of this package is to define transformations that allow obtaining stars from flat tables easily. In addition, it includes basic data cleaning, dimension enrichment, incremental data refresh and query operations, adapted to this context.

Maintained by Jose Samos. Last updated 11 months ago.

41.3 match 7 stars 5.66 score 11 scripts 2 dependents

tidyverse

lubridate:Make Dealing with Dates a Little Easier

Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.

Maintained by Vitalie Spinu. Last updated 3 months ago.

date date-time

11.1 match 757 stars 20.95 score 135k scripts 1.9k dependents

alanarnholt

BSDA:Basic Statistics and Data Analysis

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

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

23.7 match 7 stars 9.11 score 1.3k scripts 6 dependents

csids

cstime:Date and Time Functions for Public Health Purposes

Provides easy and consistent time conversion for public health purposes. The time conversion functions provided here are between date, ISO week, ISO yearweek, ISO year, calendar month/year, season, season week.

Maintained by Chi Zhang. Last updated 9 months ago.

csverse

36.7 match 4.95 score 7 scripts 2 dependents

davisvaughan

almanac:Tools for Working with Recurrence Rules

Provides tools for defining recurrence rules and recurrence sets. Recurrence rules are a programmatic way to define a recurring event, like the first Monday of December. Multiple recurrence rules can be combined into larger recurrence sets. A full holiday and calendar interface is also provided that can generate holidays within a particular year, can detect if a date is a holiday, can respect holiday observance rules, and allows for custom holidays.

Maintained by Davis Vaughan. Last updated 2 years ago.

calendars holidays recurrence-rules

20.3 match 73 stars 8.40 score 65 scripts 1 dependents

nflverse

nflreadr:Download 'nflverse' Data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Maintained by Tan Ho. Last updated 4 months ago.

nfl nflfastr nflverse sports-data

9.4 match 66 stars 12.46 score 476 scripts 10 dependents

microsoft

wpa:Tools for Analysing and Visualising Viva Insights Data

Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.

Maintained by Martin Chan. Last updated 4 months ago.

workplace-analytics

16.8 match 30 stars 6.69 score 39 scripts 1 dependents

thiyangt

denguedatahub:A Tidy Format Datasets of Dengue by Country

Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.

Maintained by Thiyanga S. Talagala. Last updated 1 months ago.

openjdk

20.1 match 11 stars 5.12 score 34 scripts

joshuaulrich

xts:eXtensible Time Series

Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.

Maintained by Joshua M. Ulrich. Last updated 4 months ago.

c time-series

5.3 match 221 stars 18.38 score 12k scripts 654 dependents

tomasfryda

h2o:R Interface for the 'H2O' Scalable Machine Learning Platform

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

Maintained by Tomas Fryda. Last updated 1 years ago.

10.2 match 3 stars 8.20 score 7.8k scripts 11 dependents

rdatatable

data.table:Extension of `data.frame`

Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.

Maintained by Tyson Barrett. Last updated 2 hours ago.

3.3 match 3.7k stars 23.52 score 230k scripts 4.6k dependents

atmoschem

vein:Vehicular Emissions Inventories

Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.

Maintained by Sergio Ibarra-Espinosa. Last updated 1 months ago.

atmoschem atmospheric-chemistry atmospheric-science atmospheric-sciences emissions emissions-model vehicular-emissions-inventories vein fortran openmp

8.4 match 46 stars 8.65 score 137 scripts

thinkr-open

lozen:Management tools for missions

Management tools for missions (internal and external). Includes weekly, GL projects, etc.

Maintained by Sébastien Rochette. Last updated 12 months ago.

experimental

13.3 match 7 stars 5.42 score 14 scripts

ropensci

mctq:Munich ChronoType Questionnaire Tools

A complete toolkit for processing the Munich ChronoType Questionnaire (MCTQ) in its three versions: standard, micro, and shift. The MCTQ is a quantitative and validated tool used to assess chronotypes based on individuals' sleep behavior. It was originally presented by Till Roenneberg, Anna Wirz-Justice, and Martha Merrow in 2003 (2003, <doi:10.1177/0748730402239679>).

Maintained by Daniel Vartanian. Last updated 2 months ago.

infrastructure preprocessing visualization biological-rhythm chronobiology chronotype circadian-phenotype circadian-rhythm entrainment mctq peer-reviewed sleep temporal-phenotype

10.1 match 12 stars 6.85 score 28 scripts

hzambran

hydroTSM:Time Series Management and Analysis for Hydrological Modelling

S3 functions for management, analysis, interpolation and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks. The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimise each function as much as possible, functionality has had priority over speed). Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.

Maintained by Mauricio Zambrano-Bigiarini. Last updated 1 months ago.

hydrology hydrology-modeling hydrology-statistical resource water-resources

6.8 match 45 stars 10.14 score 340 scripts 10 dependents

s-fleck

dint:A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates

S3 classes and methods to create and work with year-quarter, year-month and year-isoweek vectors. Basic arithmetic operations (such as adding and subtracting) are supported, as well as formatting and converting to and from standard R date types.

Maintained by Stefan Fleck. Last updated 4 months ago.

date dates month period quarter week

11.0 match 14 stars 6.11 score 58 scripts 1 dependents

kjhealy

covdata:COVID-19 Data

COVID-19 related data from the ECDC, the COVID-19 Tracking Project, the New York Times, the Human Mortality Database, and Apple. Packaged for R.

Maintained by Kieran Healy. Last updated 2 years ago.

13.5 match 83 stars 4.73 score 129 scripts

calvagone

campsis:Generic PK/PD Simulation Platform CAMPSIS

A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on R packages 'rxode2' and 'mrgsolve'. CAMPSIS provides an abstraction layer over the underlying processes of writing a PK/PD model, assembling a custom dataset and running a simulation. CAMPSIS has a strong dependency to the R package 'campsismod', which allows to read/write a model from/to files and adapt it further on the fly in the R environment. Package 'campsis' allows the user to assemble a dataset in an intuitive manner. Once the user’s dataset is ready, the package is in charge of preparing the simulation, calling 'rxode2' or 'mrgsolve' (at the user's choice) and returning the results, for the given model, dataset and desired simulation settings.

Maintained by Nicolas Luyckx. Last updated 1 months ago.

8.4 match 8 stars 7.52 score 93 scripts

objornstad

epimdr:Functions and Data for "Epidemics: Models and Data in R"

Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.

Maintained by Ottar N. Bjornstad. Last updated 5 years ago.

37.9 match 1.65 score 45 scripts

ai4ci

ggoutbreak:Estimate Incidence, Proportions and Exponential Growth Rates

Simple statistical models and visualisations for calculating the incidence, proportion, exponential growth rate, and reproduction number of infectious disease case time series. This toolkit was largely developed during the COVID-19 pandemic.

Maintained by Robert Challen. Last updated 1 months ago.

14.3 match 1 stars 4.30 score

robjhyndman

expsmooth:Data Sets from "Forecasting with Exponential Smoothing"

Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).

Maintained by Rob Hyndman. Last updated 2 years ago.

8.0 match 14 stars 7.53 score 105 scripts 2 dependents

rte-antares-rpackage

antaresEditObject:Edit an 'Antares' Simulation

Edit an 'Antares' simulation before running it : create new areas, links, thermal clusters or binding constraints or edit existing ones. Update 'Antares' general & optimization settings. 'Antares' is an open source power system generator, more information available here : <https://antares-simulator.org/>.

Maintained by Tatiana Vargas. Last updated 28 days ago.

antares-simulation cluster energy monte-carlo-simulation rte

6.6 match 8 stars 8.76 score 101 scripts

andrisignorell

DescTools:Tools for Descriptive Statistics

A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.

Maintained by Andri Signorell. Last updated 11 hours ago.

fortran cpp

3.3 match 87 stars 16.70 score 7.7k scripts 99 dependents

selesnow

timeperiodsR:Simple Definition Of Time Intervals

Simple definition of time intervals for the current, previous, and next week, month, quarter and year.

Maintained by Alexey Seleznev. Last updated 1 years ago.

11.7 match 6 stars 4.52 score 11 scripts

josesamos

when:Definition of Date and Time Dimension Tables

In Multidimensional Systems the When dimension allows us to express when the analysed facts have occurred. The purpose of this package is to provide support for implementing this dimension in the form of date and time tables for Relational On-Line Analytical Processing star database systems.

Maintained by Jose Samos. Last updated 1 years ago.

openjdk

9.0 match 1 stars 5.73 score 177 scripts 2 dependents

steve-the-bayesian

bsts:Bayesian Structural Time Series

Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.

Maintained by Steven L. Scott. Last updated 1 years ago.

cpp

7.6 match 33 stars 6.54 score 338 scripts 3 dependents

business-science

timetk:A Tool Kit for Working with Time Series

Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

Maintained by Matt Dancho. Last updated 1 years ago.

coercion coercion-functions data-mining dplyr forecast forecasting forecasting-models machine-learning series-decomposition series-signature tibble tidy tidyquant tidyverse time time-series timeseries

3.4 match 625 stars 14.15 score 4.0k scripts 16 dependents

jarad

MMWRweek:Convert Dates to MMWR Day, Week, and Year

The first day of any MMWR week is Sunday. MMWR week numbering is sequential beginning with 1 and incrementing with each week to a maximum of 52 or 53. MMWR week #1 of an MMWR year is the first week of the year that has at least four days in the calendar year. This package provides functionality to convert Dates to MMWR day, week, and year and the reverse.

Maintained by Jarad Niemi. Last updated 5 years ago.

7.8 match 3 stars 5.90 score 252 scripts 7 dependents

ctn-0094

public.ctn0094extra:Helper Files for the CTN-0094 Relational Database

Engineered features and "helper" functions ancillary to the 'public.ctn0094data' package, extending this package for ease of use (see <https://CRAN.R-project.org/package=public.ctn0094data>). This 'public.ctn0094data' package contains harmonized datasets from some of the National Institute of Drug Abuse's Clinical Trials Network (NIDA's CTN) projects. Specifically, the CTN-0094 project is to harmonize and de-identify clinical trials data from the CTN-0027, CTN-0030, and CTN-51 studies for opioid use disorder. This current version is built from 'public.ctn0094data' v. 1.0.6.

Maintained by Gabriel Odom. Last updated 1 years ago.

11.7 match 3.88 score 15 scripts

rmojab63

tdata:Prepare Your Time-Series Data for Further Analysis

Provides a set of tools for managing time-series data, with a particular emphasis on defining various frequency types such as daily and weekly. It also includes functionality for converting data between different frequencies.

Maintained by Ramin Mojab. Last updated 1 years ago.

cpp

18.0 match 2.48 score 3 scripts 1 dependents

business-science

tidyquant:Tidy Quantitative Financial Analysis

Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.

Maintained by Matt Dancho. Last updated 1 months ago.

dplyr financial-analysis financial-data financial-statements multiple-stocks performance-analysis performanceanalytics quantmod stock stock-exchanges stock-indexes stock-lists stock-performance stock-prices stock-symbol tidyverse time-series timeseries xts

3.3 match 872 stars 13.34 score 5.2k scripts

blaserlab

datascience.curriculum:Data Science 2023

What the package does (one paragraph).

Maintained by Brad Blaser. Last updated 2 years ago.

12.8 match 1 stars 3.30 score 8 scripts

risktoollib

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

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

Maintained by Philippe Cote. Last updated 18 days ago.

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

5.5 match 30 stars 7.51 score 198 scripts

timginker

boiwsa:Seasonal Adjustment of Weekly Data

Perform seasonal adjustment of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates of weekly data and includes functions for the creation of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The method is described in more detail in Ginker (2023) <doi:10.13140/RG.2.2.12221.44000>.

Maintained by Tim Ginker. Last updated 1 months ago.

seasonal-adjustment seasonality time-series-analysis

9.1 match 4 stars 4.48 score 3 scripts

jeswheel

panelPomp:Inference for Panel Partially Observed Markov Processes

Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

Maintained by Jesse Wheeler. Last updated 3 months ago.

6.7 match 5.91 score 45 scripts

rpolars

polars:Lightning-Fast 'DataFrame' Library

Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.

Maintained by Soren Welling. Last updated 4 days ago.

arrow polars rust

3.3 match 499 stars 12.01 score 1.0k scripts 2 dependents

reconhub

incidence:Compute, Handle, Plot and Model Incidence of Dated Events

Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. In addition, log-linear models can be fitted to 'incidence' objects using 'fit'. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Maintained by Tim Taylor. Last updated 7 months ago.

outbreak

3.3 match 58 stars 12.06 score 504 scripts 11 dependents

bocaccio

plink:IRT Separate Calibration Linking Methods

Item response theory based methods are used to compute linking constants and conduct chain linking of unidimensional or multidimensional tests for multiple groups under a common item design. The unidimensional methods include the Mean/Mean, Mean/Sigma, Haebara, and Stocking-Lord methods for dichotomous (1PL, 2PL and 3PL) and/or polytomous (graded response, partial credit/generalized partial credit, nominal, and multiple-choice model) items. The multidimensional methods include the least squares method and extensions of the Haebara and Stocking-Lord method using single or multiple dilation parameters for multidimensional extensions of all the unidimensional dichotomous and polytomous item response models. The package also includes functions for importing item and/or ability parameters from common IRT software, conducting IRT true score and observed score equating, and plotting item response curves/surfaces, vector plots, information plots, and comparison plots for examining parameter drift.

Maintained by Jonathan P. Weeks. Last updated 8 years ago.

8.4 match 2 stars 4.58 score 44 scripts 1 dependents

borisberanger

ExtremalDep:Extremal Dependence Models

A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.

Maintained by Simone Padoan. Last updated 3 months ago.

openblas

11.6 match 3.30 score 1 scripts

tsmodels

tsmarch:Multivariate ARCH Models

Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) <doi:10.1016/bs.host.2019.01.001>.

Maintained by Alexios Galanos. Last updated 3 months ago.

econometrics finance garch multivariate-timeseries time-series openblas cpp

6.7 match 6 stars 5.65 score 3 scripts

ebird

ebirdst:Access and Analyze eBird Status and Trends Data Products

Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.

Maintained by Matthew Strimas-Mackey. Last updated 20 days ago.

4.3 match 26 stars 8.85 score 228 scripts

jbengler

tidyplots:Tidy Plots for Scientific Papers

The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.

Maintained by Jan Broder Engler. Last updated 4 days ago.

4.0 match 482 stars 9.40 score 85 scripts

higgi13425

medicaldata:Data Package for Medical Datasets

Provides access to well-documented medical datasets for teaching. Featuring several from the Teaching of Statistics in the Health Sciences website <https://www.causeweb.org/tshs/category/dataset/>, a few reconstructed datasets of historical significance in medical research, some reformatted and extended from existing R packages, and some data donations.

Maintained by Peter Higgins. Last updated 2 years ago.

datasets

5.0 match 48 stars 7.43 score 317 scripts

rudeboybert

fivethirtyeight:Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'

Datasets and code published by the data journalism website 'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. Note that while we received guidance from editors at 'FiveThirtyEight', this package is not officially published by 'FiveThirtyEight'.

Maintained by Albert Y. Kim. Last updated 2 years ago.

data-science datajournalism fivethirtyeight statistics

3.3 match 453 stars 10.98 score 1.7k scripts

cran

ISOweek:Week of the year and weekday according to ISO 8601

This is an substitute for the %V and %u formats which are not implemented on Windows. In addition, the package offers functions to convert from standard calender format yyyy-mm-dd to and from ISO 8601 week format yyyy-Www-d.

Maintained by Uwe Block. Last updated 14 years ago.

10.4 match 2 stars 3.51 score 11 dependents

braverock

PerformanceAnalytics:Econometric Tools for Performance and Risk Analysis

Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.

Maintained by Brian G. Peterson. Last updated 3 months ago.

2.3 match 222 stars 15.93 score 4.8k scripts 20 dependents

hneth

ds4psy:Data Science for Psychologists

All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2023), freely available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.

Maintained by Hansjoerg Neth. Last updated 1 months ago.

data-literacy data-science education exploratory-data-analysis psychology social-sciences visualisation

5.3 match 22 stars 6.79 score 70 scripts

nandp1

nser:Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India

Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.

Maintained by Nandan Patil. Last updated 4 months ago.

bhav bhavcopy bhavcopy-downloader financial-data market-data national-stock-exchange nse nse-stock-data option-pricing optionchain rselenium stock-prices

4.6 match 8 stars 7.61 score 76 scripts

dslc-io

tidytuesdayR:Access the Weekly 'TidyTuesday' Project Dataset

'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.

Maintained by Jon Harmon. Last updated 26 days ago.

3.5 match 77 stars 9.86 score 3.0k scripts

refunders

refund:Regression with Functional Data

Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.

Maintained by Julia Wrobel. Last updated 6 months ago.

3.4 match 41 stars 10.25 score 472 scripts 16 dependents

bergsmat

datetime:Nominal Dates, Times, and Durations

Provides methods for working with nominal dates, times, and durations. Base R has sophisticated facilities for handling time, but these can give unexpected results if, for example, timezone is not handled properly. This package provides a more casual approach to support cases which do not require rigorous treatment. It systematically deconstructs the concepts origin and timezone, and de-emphasizes the display of seconds. It also converts among nominal durations such as seconds, hours, days, and weeks. See '?datetime' and '?duration' for examples. Adapted from 'metrumrg' <http://r-forge.r-project.org/R/?group_id=1215>.

Maintained by Tim Bergsma. Last updated 6 years ago.

17.0 match 2.00 score 50 scripts

leoly2017

wktmo:Converting Weekly Data to Monthly Data

Converts weekly data to monthly data. Users can use three types of week formats: ISO week, epidemiology week (epi week) and calendar date.

Maintained by You Li. Last updated 8 years ago.

11.3 match 2 stars 3.00 score 9 scripts

cran

epitools:Epidemiology Tools

Tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.

Maintained by Adam Omidpanah. Last updated 5 years ago.

6.9 match 2 stars 4.89 score 12 dependents

njbultman

sleeperapi:Wrapper Functions Around 'Sleeper' (Fantasy Sports) API

For those wishing to interact with the 'Sleeper' (Fantasy Sports) API (<https://docs.sleeper.com/>) without looking too much into its documentation (found at <https://docs.sleeper.com/>), this package offers wrapper functions around the available API calls to make it easier.

Maintained by Nick Bultman. Last updated 4 months ago.

7.3 match 6 stars 4.59 score 8 scripts

microsoft

vivainsights:Analyze and Visualize Data from 'Microsoft Viva Insights'

Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.

Maintained by Martin Chan. Last updated 24 days ago.

5.5 match 11 stars 6.12 score 68 scripts

tanaylab

naryn:Native Access Medical Record Retriever for High Yield Analytics

A toolkit for medical records data analysis. The 'naryn' package implements an efficient data structure for storing medical records, and provides a set of functions for data extraction, manipulation and analysis.

Maintained by Aviezer Lifshitz. Last updated 4 days ago.

data-analysis medical-records cpp

6.3 match 3 stars 5.26 score 4 scripts

julianfaraway

faraway:Datasets and Functions for Books by Julian Faraway

Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014, 3rd Ed. February 2025 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).

Maintained by Julian Faraway. Last updated 1 months ago.

data

3.5 match 29 stars 9.43 score 1.7k scripts 1 dependents

facebook

prophet:Automatic Forecasting Procedure

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

Maintained by Sean Taylor. Last updated 5 months ago.

forecasting python cpp

2.1 match 19k stars 15.53 score 976 scripts 13 dependents

nhs-r-community

NHSRdatasets:NHS and Healthcare-Related Data for Education and Training

Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.

Maintained by Zoë Turner. Last updated 3 months ago.

dataset hacktoberfest

3.5 match 70 stars 9.26 score 166 scripts

kwstat

connected:Visualize and Improve Connectedness of Factors in Tables

Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.

Maintained by Kevin Wright. Last updated 13 days ago.

7.7 match 4.18 score

jmsigner

amt:Animal Movement Tools

Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate home ranges, track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses, and simulation of space-use from fitted step-selection functions.

Maintained by Johannes Signer. Last updated 4 months ago.

3.0 match 41 stars 10.54 score 418 scripts

r-forge

R2MLwiN:Running 'MLwiN' from Within R

An R command interface to the 'MLwiN' multilevel modelling software package.

Maintained by Zhengzheng Zhang. Last updated 5 months ago.

5.8 match 5.35 score 125 scripts

sujit-sahu

bmstdr:Bayesian Modeling of Spatio-Temporal Data with R

Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) <doi:10.1201/9780429318443> describes the methods in detail.

Maintained by Sujit K. Sahu. Last updated 1 years ago.

bayesian modelling spatio-temporal-data cpp

6.2 match 15 stars 4.95 score 12 scripts

macroeconomicdata

dateutils:Date Utils

Utilities for mixed frequency data. In particular, use to aggregate and normalize tabular mixed frequency data, index dates to end of period, and seasonally adjust tabular data.

Maintained by Seth Leonard. Last updated 3 years ago.

data-processing econometrics time-series openblas cpp

5.9 match 3 stars 5.17 score 49 scripts

gabrielblain

SPIChanges:Improves the Interpretation of the Standardized Precipitation Index Under Changing Climate Conditions

Improves the interpretation of the Standardized Precipitation Index under changing climate conditions. The package uses the nonstationary approach proposed in Blain et al. (2022) <doi:10.1002/joc.7550> to detect trends in rainfall quantities and to quantify the effect of such trends on the probability of a drought event occurring.

Maintained by Gabriel Constantino Blain. Last updated 1 months ago.

5.1 match 4 stars 5.88 score

iamkdo

EpiCurve:Plot an Epidemic Curve

Creates simple or stacked epidemic curves for hourly, daily, weekly or monthly outcome data.

Maintained by Jean Pierre Decorps. Last updated 4 years ago.

6.9 match 1 stars 4.34 score 22 scripts

sujit-sahu

ipsRdbs:Introduction to Probability, Statistics and R for Data-Based Sciences

Contains data sets, programmes and illustrations discussed in the book, "Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences." Sahu (2024, isbn:9783031378645) describes the methods in detail.

Maintained by Sujit K. Sahu. Last updated 11 months ago.

7.7 match 1 stars 3.70 score 2 scripts

robjhyndman

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

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

Maintained by Rob Hyndman. Last updated 2 years ago.

data forecasting

3.3 match 106 stars 8.57 score 1.8k scripts 1 dependents

dsstoffer

astsa:Applied Statistical Time Series Analysis

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

Maintained by David Stoffer. Last updated 2 months ago.

3.5 match 7 stars 7.88 score 2.2k scripts 8 dependents

jverzani

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

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

Maintained by John Verzani. Last updated 3 years ago.

5.5 match 1 stars 4.97 score 1.4k scripts

canmod

iidda:Processing Infectious Disease Datasets in IIDDA.

Part of an open toolchain for processing infectious disease datasets available through the IIDDA data repository.

Maintained by Steve Walker. Last updated 4 months ago.

4.5 match 6.07 score 133 scripts 3 dependents

mrc-ide

EpiEstim:Estimate Time Varying Reproduction Numbers from Epidemic Curves

Tools to quantify transmissibility throughout an epidemic from the analysis of time series of incidence as described in Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) <doi:10.1093/aje/kwh255>.

Maintained by Anne Cori. Last updated 7 months ago.

2.3 match 95 stars 12.00 score 1.0k scripts 7 dependents

alexiosg

rmgarch:Multivariate GARCH Models

Feasible multivariate GARCH models including DCC, GO-GARCH and Copula-GARCH.

Maintained by Alexios Galanos. Last updated 3 months ago.

openblas cpp openmp

3.3 match 14 stars 8.11 score 294 scripts 1 dependents

trevorhastie

ISLR:Data for an Introduction to Statistical Learning with Applications in R

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R'.

Maintained by Trevor Hastie. Last updated 4 years ago.

3.5 match 4 stars 7.58 score 10k scripts 2 dependents

gmonette

cv:Cross-Validating Regression Models

Cross-validation methods of regression models that exploit features of various modeling functions to improve speed. Some of the methods implemented in the package are novel, as described in the package vignettes; for general introductions to cross-validation, see, for example, Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (2021, ISBN 978-1-0716-1417-4, Secs. 5.1, 5.3), "An Introduction to Statistical Learning with Applications in R, Second Edition", and Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2009, ISBN 978-0-387-84857-0, Sec. 7.10), "The Elements of Statistical Learning, Second Edition".

Maintained by Georges Monette. Last updated 4 days ago.

3.4 match 4 stars 7.67 score 86 scripts

bristol-vaccine-centre

avoncap:AvonCap Study Analysis

A WIP set of functions allowing data load, wrangling of the AvonCap data set.

Maintained by Rob Challen. Last updated 3 months ago.

10.9 match 2.34 score 11 scripts

martinrd3d

PCRA:Companion to Portfolio Construction and Risk Analysis

A collection of functions and data sets that support teaching a quantitative finance MS level course on Portfolio Construction and Risk Analysis, and the writing of a textbook for such a course. The package is unique in providing several real-world data sets that may be used for problem assignments and student projects. The data sets include cross-sections of stock data from the Center for Research on Security Prices, LLC (CRSP), corresponding factor exposures data from S&P Global, and several SP500 data sets.

Maintained by Doug Martin. Last updated 2 years ago.

6.9 match 3.67 score 94 scripts

reconverse

grates:Grouped Date Classes

Provides a coherent interface and implementation for creating grouped date classes.

Maintained by Tim Taylor. Last updated 7 days ago.

3.5 match 17 stars 7.25 score 18 scripts 2 dependents

petolau

TSrepr:Time Series Representations

Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.

Maintained by Peter Laurinec. Last updated 5 years ago.

data-analysis data-mining data-mining-algorithms data-science representation time-series time-series-analysis time-series-classification time-series-clustering time-series-data-mining time-series-representations cpp

3.4 match 97 stars 7.23 score 117 scripts

imalagaris

RCTRecruit:Non-Parametric Recruitment Prediction for Randomized Clinical Trials

Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.

Maintained by Ioannis Malagaris. Last updated 2 months ago.

cpp

6.8 match 1 stars 3.65 score 3 scripts

siacus

sde:Simulation and Inference for Stochastic Differential Equations

Companion package to the book Simulation and Inference for Stochastic Differential Equations With R Examples, ISBN 978-0-387-75838-1, Springer, NY. *

Maintained by Stefano Maria Iacus. Last updated 2 years ago.

3.5 match 7.02 score 178 scripts 15 dependents

tidyverts

tsibble:Tidy Temporal Data Frames and Tools

Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.

Maintained by Earo Wang. Last updated 2 months ago.

1.7 match 538 stars 14.47 score 4.4k scripts 42 dependents

serkor1

cryptoQuotes:Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts

This high-level API client provides open access to cryptocurrency market data, sentiment indicators, and interactive charting tools. The data is sourced from major cryptocurrency exchanges via 'curl' and returned in 'xts'-format. The data comes in open, high, low, and close (OHLC) format with flexible granularity, ranging from seconds to months. This flexibility makes it ideal for developing and backtesting trading strategies or conducting detailed market analysis.

Maintained by Serkan Korkmaz. Last updated 4 months ago.

binance binance-api bitmart bybit bybit-api cryptocurrencies cryptocurrency cryptocurrency-exchanges huobi huobi-api kraken-api kraken-exchange-api kucoin kucoin-api

3.5 match 39 stars 6.66 score 26 scripts

openair-project

openair:Tools for the Analysis of Air Pollution Data

Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.

Maintained by David Carslaw. Last updated 25 days ago.

air-quality air-quality-data meteorology openair cpp

1.8 match 311 stars 12.91 score 1.2k scripts 12 dependents

shabbychef

madness:Automatic Differentiation of Multivariate Operations

An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.

Maintained by Steven E. Pav. Last updated 4 years ago.

3.5 match 31 stars 6.59 score 28 scripts 3 dependents

big-life-lab

cchsflow:Transforming and Harmonizing CCHS Variables

Supporting the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2018). CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement. This package uses rec_with_table(), which was developed from 'sjmisc' rec(). Lüdecke D (2018). "sjmisc: Data and Variable Transformation Functions". Journal of Open Source Software, 3(26), 754. <doi:10.21105/joss.00754>.

Maintained by Kitty Chen. Last updated 1 years ago.

cchs opensci openscience

3.8 match 12 stars 6.02 score 192 scripts

gogonzo

runner:Running Operations for Vectors

Lightweight library for rolling windows operations. Package enables full control over the window length, window lag and a time indices. With a runner one can apply any R function on a rolling windows. The package eases work with equally and unequally spaced time series.

Maintained by Dawid Kałędkowski. Last updated 1 years ago.

cpp

2.5 match 51 stars 9.11 score 212 scripts 4 dependents

philips-software

latrend:A Framework for Clustering Longitudinal Data

A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.

Maintained by Niek Den Teuling. Last updated 2 months ago.

cluster-analysis clustering-evaluation clustering-methods data-science longitudinal-clustering longitudinal-data mixture-models time-series-analysis

3.3 match 30 stars 6.77 score 26 scripts

jerryratcliffe

aoristic:Generates Aoristic Probability Distributions

It can sometimes be difficult to ascertain when some events (such as property crime) occur because the victim is not present when the crime happens. As a result, police databases often record a 'start' (or 'from') date and time, and an 'end' (or 'to') date and time. The time span between these date/times can be minutes, hours, or sometimes days, hence the term 'Aoristic'. Aoristic is one of the past tenses in Greek and represents an uncertain occurrence in time. For events with a location describes with either a latitude/longitude, or X,Y coordinate pair, and a start and end date/time, this package generates an aoristic data frame with aoristic weighted probability values for each hour of the week, for each observation. The coordinates are not necessary for the program to calculate aoristic weights; however, they are part of this package because a spatial component has been integral to aoristic analysis from the start. Dummy coordinates can be introduced if the user only has temporal data. Outputs include an aoristic data frame, as well as summary graphs and displays. For more information see: Ratcliffe, JH (2002) Aoristic signatures and the temporal analysis of high volume crime patterns, Journal of Quantitative Criminology. 18 (1): 23-43. Note: This package replaces an original 'aoristic' package (version 0.6) by George Kikuchi that has been discontinued with his permission.

Maintained by Jerry Ratcliffe. Last updated 2 years ago.

6.1 match 7 stars 3.54 score 9 scripts

framverse

pssp:Package to interface with the WDFW Puget Sound sampling database

The pssp package serves as an interface between R and the Puget Sound sampling database. It"s goal is to ease the burden of retrieving and analyzing sport creel information in Puget Sound.

Maintained by Ty Garber. Last updated 4 months ago.

9.1 match 2.40 score

freezenik

bamlss:Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.

Maintained by Nikolaus Umlauf. Last updated 5 months ago.

openblas

3.8 match 1 stars 5.76 score 239 scripts 5 dependents

vandomed

accelerometry:Functions for Processing Accelerometer Data

A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.

Maintained by Dane R. Van Domelen. Last updated 6 years ago.

accelerometer exercise moving-average physical-activity sedentary-life wearable-devices cpp

3.2 match 6 stars 6.62 score 31 scripts 5 dependents

lindbrook

packageRank:Computation and Visualization of Package Download Counts and Percentile Ranks

Compute and visualize package download counts and percentile ranks from Posit/RStudio's CRAN mirror.

Maintained by lindbrook. Last updated 4 days ago.

bioconductor-packages

3.5 match 28 stars 6.13 score 27 scripts

statmanrobin

Lock5Data:Datasets for "Statistics: UnLocking the Power of Data"

Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.

Maintained by Robin Lock. Last updated 4 years ago.

7.2 match 2.90 score 322 scripts

ssi-dk

diseasystore:Feature Stores for the 'diseasy' Framework

Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.

Maintained by Rasmus Skytte Randløv. Last updated 17 days ago.

3.0 match 4 stars 6.96 score 16 scripts

cran

excessmort:Excess Mortality

Implementation of method for estimating excess mortality and other health related outcomes from weekly or daily count data described in Acosta and Irizarry (2021) "A Flexible Statistical Framework for Estimating Excess Mortality".

Maintained by Rafael A. Irizarry. Last updated 4 months ago.

7.7 match 2.70 score 25 scripts

cran

timeDate:Rmetrics - Chronological and Calendar Objects

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

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

2.3 match 1 stars 9.25 score 944 scripts 708 dependents

lalvarezmat

EpiInvert:Variational Techniques in Epidemiology

Using variational techniques we address some epidemiological problems as the incidence curve decomposition by inverting the renewal equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of the functional relationship between epidemiological indicators. We also propose a learning method for the short time forecast of the trend incidence curve as described in Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

Maintained by Luis Alvarez. Last updated 1 years ago.

cpp

6.4 match 3 stars 3.18 score 3 scripts

hankstevens

primer:Functions and Data for the Book, a Primer of Ecology with R

Functions are primarily functions for systems of ordinary differential equations, difference equations, and eigenanalysis and projection of demographic matrices; data are for examples.

Maintained by Hank Stevens. Last updated 4 years ago.

3.4 match 14 stars 5.92 score 118 scripts

dreamrs

toastui:Interactive Tables, Calendars and Charts for the Web

Create interactive tables, calendars and charts with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.

Maintained by Victor Perrier. Last updated 16 days ago.

htmlwidgets

2.0 match 86 stars 10.03 score 144 scripts 8 dependents

lightbluetitan

MedDataSets:Comprehensive Medical, Disease, Treatment, and Drug Datasets

Provides an extensive collection of datasets related to medicine, diseases, treatments, drugs, and public health. This package covers topics such as drug effectiveness, vaccine trials, survival rates, infectious disease outbreaks, and medical treatments. The included datasets span various health conditions, including AIDS, cancer, bacterial infections, and COVID-19, along with information on pharmaceuticals and vaccines. These datasets are sourced from the R ecosystem and other R packages, remaining unaltered to ensure data integrity. This package serves as a valuable resource for researchers, analysts, and healthcare professionals interested in conducting medical and public health data analysis in R.

Maintained by Renzo Caceres Rossi. Last updated 5 months ago.

3.5 match 8 stars 5.68 score 60 scripts

epiforecasts

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

2.5 match 61 stars 7.88 score 65 scripts

metrumresearchgroup

mrgsolve:Simulate from ODE-Based Models

Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.

Maintained by Kyle T Baron. Last updated 1 months ago.

mrgsolve ode openblas cpp

1.8 match 138 stars 10.90 score 1.2k scripts 3 dependents

epinowcast

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

2.5 match 61 stars 7.79 score 71 scripts

trevorhastie

ISLR2:Introduction to Statistical Learning, Second Edition

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Maintained by Trevor Hastie. Last updated 2 years ago.

3.5 match 2 stars 5.49 score 2.2k scripts

kurthornik

chron:Chronological Objects which Can Handle Dates and Times

Provides chronological objects which can handle dates and times.

Maintained by Kurt Hornik. Last updated 3 months ago.

2.3 match 8.51 score 2.5k scripts 115 dependents

cidm-ph

phylepic:Combined Visualisation of Phylogenetic and Epidemiological Data

A collection of utilities and 'ggplot2' extensions to assist with visualisations in genomic epidemiology. This includes the 'phylepic' chart, a visual combination of a phylogenetic tree and a matched epidemic curve. The included 'ggplot2' extensions such as date axes binned by week are relevant for other applications in epidemiology and beyond. The approach is described in Suster et al. (2024) <doi:10.1101/2024.04.02.24305229>.

Maintained by Carl Suster. Last updated 2 months ago.

genomics genomics-visualization public-health

4.1 match 4.65 score 4 scripts

nflverse

nflfastR:Functions to Efficiently Access NFL Play by Play Data

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

Maintained by Ben Baldwin. Last updated 2 months ago.

american-football football-data nfl nflstats nflverse sports-analytics

1.8 match 442 stars 10.40 score 596 scripts 3 dependents

r-forge

surveillance:Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Maintained by Sebastian Meyer. Last updated 2 days ago.

cpp

1.8 match 2 stars 10.68 score 446 scripts 3 dependents

jaseziv

worldfootballR:Extract and Clean World Football (Soccer) Data

Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.

Maintained by Jason Zivkovic. Last updated 1 months ago.

fbref football football-data soccer-data sports-data transfermarkt understat

1.9 match 506 stars 9.89 score 516 scripts 2 dependents

virmar

finnishgrid:'Fingrid Open Data API' R Client

R API client package for 'Fingrid Open Data' on the electricity market and the power system. get_data() function holds the main application logic to retrieve time-series data. API calls require free user account registration.

Maintained by Markus Virtanen. Last updated 9 months ago.

3.4 match 2 stars 5.24 score 175 scripts

framverse

framrsquared:FRAM Database Interface

A convenient tool for interfacing with FRAM access databases in R environments.

Maintained by Ty Garber. Last updated 2 months ago.

3.4 match 6 stars 5.06 score 9 scripts

ayrangi

WaveletComp:Computational Wavelet Analysis

Wavelet analysis and reconstruction of time series, cross-wavelets and phase-difference (with filtering options), significance with simulation algorithms.

Maintained by Angi Roesch. Last updated 7 years ago.

3.2 match 5 stars 5.39 score 181 scripts 5 dependents

ffverse

ffsimulator:Simulate Fantasy Football Seasons

Uses bootstrap resampling to run fantasy football season simulations supported by historical rankings and 'nflfastR' data, calculating optimal lineups, and returning aggregated results.

Maintained by Tan Ho. Last updated 5 months ago.

fantasy-football simulation

3.3 match 17 stars 5.17 score 44 scripts

eth-mds

ricu:Intensive Care Unit Data with R

Focused on (but not exclusive to) data sets hosted on PhysioNet (<https://physionet.org>), 'ricu' provides utilities for download, setup and access of intensive care unit (ICU) data sets. In addition to functions for running arbitrary queries against available data sets, a system for defining clinical concepts and encoding their representations in tabular ICU data is presented.

Maintained by Nicolas Bennett. Last updated 10 months ago.

3.0 match 39 stars 5.65 score 77 scripts

danieleweeks

Mega2R:Accessing and Processing a 'Mega2' Genetic Database

Uses as input genetic data that have been reformatted and stored in a 'SQLite' database; this database is initially created by the standalone 'mega2' C++ program (available freely from <https://watson.hgen.pitt.edu/register/>). Loads and manipulates data frames containing genotype, phenotype, and family information from the input 'SQLite' database, and decompresses needed subsets of the genotype data, on the fly, in a memory efficient manner. We have also created several more functions that illustrate how to use the data frames as well as perform useful tasks: these permit one to run the 'pedgene' package to carry out gene-based association tests on family data using selected marker subsets, to run the 'SKAT' package to carry out gene-based association tests using selected marker subsets, to run the 'famSKATRC' package to carry out gene-based association tests on families (optionally) and with rare or common variants using selected marker subsets, to output the 'Mega2R' data as a VCF file and related files (for phenotype and family data), and to convert the data frames into CoreArray Genomic Data Structure (GDS) format.

Maintained by Daniel E. Weeks. Last updated 1 years ago.

genetics cpp

8.3 match 2.00 score 8 scripts

jyprojs

patentr:Access USPTO Bulk Data in Tidy Rectangular Format

Converts TXT and XML data curated by the United States Patent and Trademark Office (USPTO). Allows conversion of bulk data after downloading directly from the USPTO bulk data website, eliminating need for users to wrangle multiple data formats to get large patent databases in tidy, rectangular format. Data details can be found on the USPTO website <https://bulkdata.uspto.gov/>. Currently, all 3 formats: 1. TXT data (1976-2001); 2. XML format 1 data (2002-2004); and 3. XML format 2 data (2005-current) can be converted to rectangular, CSV format. Relevant literature that uses data from USPTO includes Wada (2020) <doi:10.1007/s11192-020-03674-4> and Plaza & Albert (2008) <doi:10.1007/s11192-007-1763-3>.

Maintained by Raoul Wadhwa. Last updated 3 years ago.

patent patent-data patents r-programming uspto cpp

3.5 match 10 stars 4.70 score 5 scripts

laresbernardo

lares:Analytics & Machine Learning Sidekick

Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.

Maintained by Bernardo Lares. Last updated 24 days ago.

analytics api automation automl data-science descriptive-statistics h2o machine-learning marketing mmm predictive-modeling puzzle rlanguage robyn visualization

1.7 match 233 stars 9.84 score 185 scripts 1 dependents

mrc-ide

epireview:Tools to update and summarise the latest pathogen data from the Pathogen Epidemiology Review Group (PERG)

Contains the latest open access pathogen data from the Pathogen Epidemiology Review Group (PERG). Tools are available to update pathogen databases with new peer-reviewed data as it becomes available, and to summarise the latest data using tables and figures.

Maintained by Sangeeta Bhatia. Last updated 3 days ago.

2.4 match 30 stars 6.76 score 6 scripts

epiforecasts

EpiNow2:Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters

Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.

Maintained by Sebastian Funk. Last updated 25 days ago.

backcalculation covid-19 gaussian-processes open-source reproduction-number stan cpp

1.3 match 120 stars 11.88 score 210 scripts

rstudio

bigD:Flexibly Format Dates and Times to a Given Locale

Format dates and times flexibly and to whichever locales make sense. Parses dates, times, and date-times in various formats (including string-based ISO 8601 constructions). The formatting syntax gives the user many options for formatting the date and time output in a precise manner. Time zones in the input can be expressed in multiple ways and there are many options for formatting time zones in the output as well. Several of the provided helper functions allow for automatic generation of locale-aware formatting patterns based on date/time skeleton formats and standardized date/time formats with varying specificity.

Maintained by Richard Iannone. Last updated 12 days ago.

date datetime easy-to-use i18n time

1.7 match 19 stars 9.46 score 1 scripts 112 dependents

nikdata

avocado:Weekly Hass Avocado Sales Summary

Provides a weekly summary of Hass Avocado sales for the contiguous US from January 2017 to November 2020. See the package website for more information, documentation, and examples. Data source: Haas Avocado Board <https://hassavocadoboard.com/category-data/>.

Maintained by Nikhil Agarwal. Last updated 4 years ago.

avocado avocado-dataset hass

3.5 match 4.34 score 11 scripts

eddelbuettel

RcppBDT:'Rcpp' Bindings for the Boost Date_Time Library

Access to Boost Date_Time functionality for dates, durations (both for days and date time objects), time zones, and posix time ('ptime') is provided by using 'Rcpp modules'. The posix time implementation can support high-resolution of up to nano-second precision by using 96 bits (instead of 64 with R) to present a 'ptime' object (but this needs recompilation with a #define set).

Maintained by Dirk Eddelbuettel. Last updated 6 days ago.

cpp

3.0 match 17 stars 5.01 score 6 scripts 1 dependents

jvanschalkwyk

corona:Coronavirus ('Rona') Data Exploration

Manipulate and view coronavirus data and other societally relevant data at a basic level.

Maintained by Jo van Schalkwyk. Last updated 4 years ago.

5.5 match 2.70 score 1 scripts

babaknaimi

rts:Raster Time Series Analysis

This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).

Maintained by Babak Naimi. Last updated 9 months ago.

2.3 match 6 stars 6.59 score 107 scripts 1 dependents

centerforassessment

SGP:Student Growth Percentiles & Percentile Growth Trajectories

An analytic framework for the calculation of norm- and criterion-referenced academic growth estimates using large scale, longitudinal education assessment data as developed in Betebenner (2009) <doi:10.1111/j.1745-3992.2009.00161.x>.

Maintained by Damian W. Betebenner. Last updated 2 months ago.

percentile-growth-projections quantile-regression sgp sgp-analyses student-growth-percentiles student-growth-projections

1.5 match 20 stars 9.69 score 88 scripts

matiaspoullain

sgat:Extract Information from Google's "Popular Times"

Once you've identified a real life place, such as a shop, a restaurant, a bar, etc. use this package to simulate a Google search and retrieve its "Popular Times" and geographic location information and save them in Comma-Separated Values files. This package also downloads a list of restaurants and bars of Ushuaia city, Argentina.

Maintained by Matias Poullain. Last updated 3 years ago.

3.1 match 4.66 score 92 scripts

ffverse

ffscrapr:API Client for Fantasy Football League Platforms

Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

Maintained by Tan Ho. Last updated 5 months ago.

api-client fantasy-football fantasy-football-api

1.8 match 84 stars 8.07 score 178 scripts 1 dependents

oobianom

quickcode:Quick and Essential 'R' Tricks for Better Scripts

The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.

Maintained by Obinna Obianom. Last updated 14 days ago.

colors data distributions images

1.8 match 5 stars 7.76 score 7 scripts 6 dependents

usaid-oha-si

Wavelength:Wavelength

USAID OHA Office. Munging of mission weekly HFR data.

Maintained by Aaron Chafetz. Last updated 2 years ago.

4.1 match 3 stars 3.39 score 55 scripts

n-t-huyen

MicrobiomeSurv:A Biomarker Validation Approach for Classification and Predicting Survival Using Microbiome Data

An approach to identify microbiome biomarker for time to event data by discovering microbiome for predicting survival and classifying subjects into risk groups. Classifiers are constructed as a linear combination of important microbiome and treatment effects if necessary. Several methods were implemented to estimate the microbiome risk score such as majority voting technique, LASSO, Elastic net, supervised principle component analysis (SPCA), and supervised partial least squares analysis (SPLS). Sensitivity analysis on the quantile used for the classification can also be accessed to check the deviation of the classification group based on the quantile specified. Large scale cross validation can be performed in order to investigate the mostly selected microbiome and for internal validation. During the evaluation process, validation is accessed using the hazard ratios (HR) distribution of the test set and inference is mainly based on resampling and permutations technique.

Maintained by Thi Huyen Nguyen. Last updated 1 years ago.

3.8 match 3.70 score 2 scripts

haddonm

MQMF:Modelling and Quantitative Methods in Fisheries

Complements the book "Using R for Modelling and Quantitative Methods in Fisheries" ISBN 9780367469894, published in 2021 by Chapman & Hall in their "Using R series". There are numerous functions and data-sets that are used in the book's many practical examples.

Maintained by Malcolm Haddon. Last updated 2 years ago.

ecology fisheries haddon quantitative-methods uncertainty

3.3 match 11 stars 4.14 score 25 scripts

thinkr-open

togglr:'Toggl.com' Api for 'Rstudio'

Use the <https://toggl.com> time tracker api through R.

Maintained by Vincent Guyader. Last updated 1 years ago.

hacktoberfest toggl-api toggler

2.0 match 49 stars 6.81 score 33 scripts

thiyangt

colmozzie:Dengue Cases and Climate Variables in Colombo Sri Lanka

Weekly notified dengue cases and climate variables in Colombo district Sri Lanka from 2008/ week-52 to 2014/ week-21.

Maintained by Thiyanga Talagala. Last updated 6 years ago.

4.5 match 2 stars 3.00 score 7 scripts

kwb-r

aquanes.report:Automated Reporting Tool for Water Suppliers

Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document).

Maintained by Michael Rustler. Last updated 6 years ago.

automated-reporting data-aggregation data-export data-import data-visualisation pilot-plant project-aquanes shiny-app

3.4 match 4.01 score 23 scripts

kwb-r

kwb.pilot:Importing, Aggregating and Visualising Data From KWB Pilot Plants

Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document).

Maintained by Michael Rustler. Last updated 2 years ago.

data-aggregation data-import data-visualisation project-aquanes project-mbr40 project-suleman project-ultimate

3.4 match 1 stars 4.01 score 17 scripts

pecanproject

PEcAnAssimSequential:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Mike Dietze. Last updated 2 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

1.6 match 216 stars 8.11 score 35 scripts

ctu-bern

kpitools:Tools for creating key performance indicator reports for clinical trial

Assessing performance of clinical trials can assist identify problems earlier in the trial than might be possible without it and help to improve trial quality. Tools for the creating performance indicator reports are however uncommon. 'kpitools' aims to provide tools to create such reports.

Maintained by Alan G. Haynes. Last updated 7 months ago.

key-performance-indicator kpi quality-control

3.4 match 2 stars 3.90 score 8 scripts

alsabtay

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

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

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

ata ataforecasting fable forecast forecasting time-series cpp

3.4 match 5 stars 3.88 score 4 scripts 1 dependents

epiforecasts

socialmixr:Social Mixing Matrices for Infectious Disease Modelling

Provides methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>.

Maintained by Sebastian Funk. Last updated 5 months ago.

1.3 match 38 stars 9.74 score 227 scripts 1 dependents

rich-iannone

i18n:Internationalization Data from the 'Unicode CLDR' in Tabular Form

Up-to-date data from the 'Unicode CLDR Project' (where 'CLDR' stands for 'Common Locale Data Repository') are available here as a series of easy-to-parse datasets. Several functions are provided for extracting key elements from the tabular datasets.

Maintained by Richard Iannone. Last updated 9 months ago.

3.5 match 10 stars 3.70 score 9 scripts

svmiller

stevemisc:Steve's Miscellaneous Functions

These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.

Maintained by Steve Miller. Last updated 6 days ago.

dplyr mixed-effects-models multivariate-normal-distribution tidyverse

1.9 match 10 stars 6.85 score 392 scripts 2 dependents

bioc

moanin:An R Package for Time Course RNASeq Data Analysis

Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.

Maintained by Nelle Varoquaux. Last updated 5 months ago.

timecourse geneexpression rnaseq microarray differentialexpression clustering

3.0 match 4.15 score 14 scripts

wch

Rttf2pt1:'ttf2pt1' Program

Contains the program 'ttf2pt1', for use with the 'extrafont' package. This product includes software developed by the 'TTF2PT1' Project and its contributors.

Maintained by Winston Chang. Last updated 2 years ago.

1.5 match 14 stars 8.16 score 40 scripts 52 dependents

jla-data

czechrates:Czech Interest & Foreign Exchange Rates

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

Maintained by Jindra Lacko. Last updated 11 months ago.

3.1 match 1 stars 4.00 score 3 scripts

grahamjwhite

IndexNumR:Index Number Calculation

Computes bilateral and multilateral index numbers. It has support for many standard bilateral indexes as well as multilateral index number methods such as GEKS, GEKS-Tornqvist (or CCDI), Geary-Khamis and the weighted time product dummy (for details on these methods see Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>). It also supports updating of multilateral indexes using several splicing methods.

Maintained by Graham White. Last updated 1 years ago.

index-numbers

2.0 match 15 stars 6.20 score 71 scripts 1 dependents

nicchr

timeplyr:Fast Tidy Tools for Date and Date-Time Manipulation

A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.

Maintained by Nick Christofides. Last updated 6 days ago.

cpp

1.8 match 40 stars 7.07 score 185 scripts

iheid-library

iheiddown:For Writing Geneva Graduate Institute Documents

A set of tools for writing documents according to Geneva Graduate Institute conventions and regulations. The most common use is for writing and compiling theses or thesis chapters, as drafts or for examination with correct preamble formatting. However, the package also offers users to create HTML presentation slides with 'xaringan', complete problem sets, format posters, and, for course instructors, prepare a syllabus. The package includes additional functions for institutional color palettes, an institutional 'ggplot' theme, a function for counting manuscript words, and a bibliographical analysis toolkit.

Maintained by James Hollway. Last updated 2 years ago.

rmarkdown thesis university

2.0 match 11 stars 6.14 score 5 scripts

thlytras

FluMoDL:Influenza-Attributable Mortality with Distributed-Lag Models

Functions to estimate the mortality attributable to influenza and temperature, using distributed-lag nonlinear models (DLNMs), as first implemented in Lytras et al. (2019) <doi:10.2807/1560-7917.ES.2019.24.14.1800118>. Full descriptions of underlying DLNM methodology in Gasparrini et al. <doi:10.1002/sim.3940> (DLNMs), <doi:10.1186/1471-2288-14-55> (attributable risk from DLNMs) and <doi:10.1002/sim.5471> (multivariate meta-analysis).

Maintained by Theodore Lytras. Last updated 6 years ago.

3.5 match 1 stars 3.32 score 42 scripts

luomus

fbi:Finnish Biodiversity Indicators

Finnish biodiversity indicators is a service providing time series of abundance indices and related metrics for Finland. The input data for the indices are provided by the Finnish Biodiversity Information Facility.

Maintained by William K. Morris. Last updated 3 days ago.

2.0 match 5.89 score 60 scripts

jhmaindonald

gamclass:Functions and Data for a Course on Modern Regression and Classification

Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. The functions are designed to make it straightforward to illustrate the use of cross-validation, the training/test approach, simulation, and model-based estimates of accuracy. Methods considered are Generalized Additive Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods, and Random Forests.

Maintained by John Maindonald. Last updated 2 years ago.

2.4 match 4.82 score 44 scripts

certe-medical-epidemiology

certetoolbox:A Certe R Package for Miscellaneous Functions

A Certe R Package for miscellaneous functions that do not fit a dedicated package. This package also mitigates the 'vctrs' package by allowing numeric-character coercions. This package is part of the 'certedata' universe.

Maintained by Erwin E. A. Hassing. Last updated 8 days ago.

3.3 match 3.43 score 1 scripts 1 dependents

poissonconsulting

dttr2:Manipulate Date, POSIXct and hms Vectors

Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.

Maintained by Ayla Pearson. Last updated 2 months ago.

2.0 match 10 stars 5.65 score 5 scripts 6 dependents

ipeagit

gtfstools:General Transit Feed Specification (GTFS) Editing and Analysing Tools

Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.

Maintained by Daniel Herszenhut. Last updated 2 months ago.

gtfs public-transport publictransport cpp

1.2 match 40 stars 9.31 score 126 scripts 3 dependents

akstat21

weatherindices:Calculate Weather Indices

Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.

Maintained by Akhilesh Kumar Gupta. Last updated 2 years ago.

4.1 match 2.70 score 2 scripts

usepa

httk:High-Throughput Toxicokinetics

Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predictions for chemicals where in vivo data do exist. The models are systems of ordinary differential equations that are developed in MCSim and solved using compiled (C-based) code for speed. A Monte Carlo sampler is included for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty (Wambaugh et al., 2019 <doi:10.1093/toxsci/kfz205>). Empirically calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for using IVIVE to convert concentrations from high-throughput screening experiments (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

Maintained by John Wambaugh. Last updated 1 months ago.

comptox ord

1.1 match 27 stars 10.22 score 307 scripts 1 dependents

cmu-delphi

epidatr:Client for Delphi's 'Epidata' API

The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.

Maintained by David Weber. Last updated 4 months ago.

1.8 match 5 stars 6.14 score 114 scripts

mattcowgill

readabs:Download and Tidy Time Series Data from the Australian Bureau of Statistics

Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.

Maintained by Matt Cowgill. Last updated 15 days ago.

abs australia australian-bureau-of-statistics australian-data statistics tidy-data time-series

1.2 match 104 stars 8.85 score 180 scripts

selesnow

rgoogleads:Loading Data from 'Google Ads API'

Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.

Maintained by Alexey Seleznev. Last updated 2 months ago.

1.7 match 14 stars 6.40 score 15 scripts 1 dependents

rjdverse

rjd3toolkit:Utility Functions around 'JDemetra+ 3.0'

R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, UCARIMA models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using rjd3x13 or rjd3tramoseats.

Maintained by Tanguy Barthelemy. Last updated 5 months ago.

jdemetra seasonal-adjustment timeseries openjdk

1.8 match 5 stars 5.81 score 48 scripts 15 dependents

bsnatr

tswge:Time Series for Data Science

Accompanies the texts Time Series for Data Science with R by Woodward, Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.

Maintained by Bivin Sadler. Last updated 2 years ago.

3.8 match 2.70 score 496 scripts

mpiktas

midasr:Mixed Data Sampling Regression

Methods and tools for mixed frequency time series data analysis. Allows estimation, model selection and forecasting for MIDAS regressions.

Maintained by Vaidotas Zemlys-Balevičius. Last updated 3 years ago.

1.8 match 77 stars 5.76 score 150 scripts

merck

psm3mkv:Evaluate Partitioned Survival and State Transition Models

Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.

Maintained by Dominic Muston. Last updated 9 months ago.

1.6 match 10 stars 6.43 score 1 scripts

hrbrmstr

darksky:Tools to Work with the 'Dark Sky' 'API'

Provides programmatic access to the 'Dark Sky' 'API' <https://darksky.net/dev/docs>, which provides current or historical global weather conditions.

Maintained by Bob Rudis. Last updated 4 years ago.

darksky darksky-api darksky-api-powered darksky-weather-api darkskyapi weatherkit

1.8 match 83 stars 5.49 score 37 scripts

epiforecasts

forecast.vocs:Forecast Case and Sequence Notifications using Variant of Concern Strain Dynamics

Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.

Maintained by Sam Abbott. Last updated 2 years ago.

1.9 match 8 stars 5.25 score 22 scripts

dementiy

vkR:Access to VK API via R

Provides an interface to the VK API <https://vk.com/dev/methods>. VK <https://vk.com/> is the largest European online social networking service, based in Russia.

Maintained by Dmitriy Sorokin. Last updated 4 years ago.

api vkontakte

1.8 match 56 stars 5.36 score 41 scripts

carpentries

sandpaper:Create and Curate Carpentries Lessons

We provide tools to build a Carpentries-themed lesson repository into an accessible standalone static website. These include local tools and those designed to be used in a continuous integration context so that all the lesson author needs to focus on is writing the content of the actual lesson.

Maintained by Robert Davey. Last updated 2 months ago.

carpentries carpentries-infrastructure carpentries-workbench lesson-template lessons markdown static-site-generator

1.3 match 44 stars 7.72 score 8 scripts

nasserdr

digiRhythm:Analyzing Animal's Rhythmicity

Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.

Maintained by Hassan-Roland Nasser. Last updated 6 days ago.

1.6 match 6.06 score 22 scripts

selbosh

doseminer:Extract Drug Dosages from Free-Text Prescriptions

Utilities for converting unstructured electronic prescribing instructions into structured medication data. Extracts drug dose, units, daily dosing frequency and intervals from English-language prescriptions. Based on Karystianis et al. (2015) <doi:10.1186/s12911-016-0255-x>.

Maintained by David Selby. Last updated 2 years ago.

cprd prescription

1.8 match 4 stars 5.12 score 11 scripts 1 dependents

danieleweeks

nplplot:Plotting Linkage and Association Results

Provides routines for plotting linkage and association results along a chromosome, with marker names displayed along the top border. There are also routines for generating BED and BedGraph custom tracks for viewing in the UCSC genome browser. The data reformatting program Mega2 uses this package to plot output from a variety of programs.

Maintained by Daniel E. Weeks. Last updated 1 years ago.

9.2 match 1.00 score 8 scripts

cran

CSTools:Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales

Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the 'ERA4CS' project 'MEDSCOPE' and the 'H2020 S2S4E' project and includes contributions from 'ArticXchange' project founded by 'EU-PolarNet 2'. 'Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>'. 'Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>'. 'Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>'. 'Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>'. 'Straus et al. (2007) <doi:10.1175/JCLI4070.1>'. 'Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>'. 'Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>'. 'D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>'. 'Verfaillie et al. (2017) <doi:10.5194/gmd-10-4257-2017>'. 'Van Schaeybroeck et al. (2019) <doi:10.1016/B978-0-12-812372-0.00010-8>'. 'Yiou et al. (2013) <doi:10.1007/s00382-012-1626-3>'.

Maintained by Victoria Agudetse. Last updated 1 years ago.

fortran

1.7 match 2 stars 5.32 score 62 scripts 1 dependents

andykrause

hpiR:House Price Indexes

Compute house price indexes and series using a variety of different methods and models common through the real estate literature. Evaluate index 'goodness' based on accuracy, volatility and revision statistics. Background on basic model construction for repeat sales models can be found at: Case and Quigley (1991) <https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for hedonic pricing models at: Bourassa et al (2006) <doi:10.1016/j.jhe.2006.03.001>. The package author's working paper on the random forest approach to house price indexes can be found at: <https://www.github.com/andykrause/hpi_research>.

Maintained by Andy Krause. Last updated 1 years ago.

1.9 match 15 stars 4.82 score 88 scripts

r-forge

tframePlus:Time Frame Coding Kernel Extensions

Extensions and additional 'tframe' utilities.

Maintained by Paul Gilbert. Last updated 1 years ago.

3.0 match 3.00 score 9 scripts

mplatzer

BTYDplus:Probabilistic Models for Assessing and Predicting your Customer Base

Provides advanced statistical methods to describe and predict customers' purchase behavior in a non-contractual setting. It uses historic transaction records to fit a probabilistic model, which then allows to compute quantities of managerial interest on a cohort- as well as on a customer level (Customer Lifetime Value, Customer Equity, P(alive), etc.). This package complements the BTYD package by providing several additional buy-till-you-die models, that have been published in the marketing literature, but whose implementation are complex and non-trivial. These models are: NBD [Ehrenberg (1959) <doi:10.2307/2985810>], MBG/NBD [Batislam et al (2007) <doi:10.1016/j.ijresmar.2006.12.005>], (M)BG/CNBD-k [Reutterer et al (2020) <doi:10.1016/j.ijresmar.2020.09.002>], Pareto/NBD (HB) [Abe (2009) <doi:10.1287/mksc.1090.0502>] and Pareto/GGG [Platzer and Reutterer (2016) <doi:10.1287/mksc.2015.0963>].

Maintained by Michael Platzer. Last updated 11 months ago.

crm customer-behavior marketing-science predictive-analytics cpp

1.2 match 188 stars 7.48 score 64 scripts

datawookie

clockify:A Wrapper for the 'Clockify' API

A wrapper for the Clockify API <https://docs.clockify.me/>, making it possible to query, insert and update time keeping data.

Maintained by Andrew B. Collier. Last updated 10 months ago.

hacktoberfest

2.3 match 2 stars 3.95 score 6 scripts

cmilando

linelistBayes:Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches

Provides tools for performing Bayesian inference on epidemiological data to estimate the time-varying reproductive number and other related metrics. These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>. This package supports analyses based on aggregated case count data and individual line list data, facilitating enhanced surveillance and intervention planning for infectious diseases like COVID-19.

Maintained by Chad Milando. Last updated 11 months ago.

openblas cpp

1.8 match 4 stars 5.00 score 2 scripts

eitsupi

neopolars:R Bindings for the 'polars' Rust Library

Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.

Maintained by Tatsuya Shima. Last updated 1 days ago.

rust cargo

1.8 match 40 stars 4.86 score 1 scripts

danieleweeks

powerpkg:Power Analyses for the Affected Sib Pair and the TDT Design

There are two main functions: (1) To estimate the power of testing for linkage using an affected sib pair design, as a function of the recurrence risk ratios. We will use analytical power formulae as implemented in R. These are based on a Mathematica notebook created by Martin Farrall. (2) To examine how the power of the transmission disequilibrium test (TDT) depends on the disease allele frequency, the marker allele frequency, the strength of the linkage disequilibrium, and the magnitude of the genetic effect. We will use an R program that implements the power formulae of Abel and Muller-Myhsok (1998). These formulae allow one to quickly compute power of the TDT approach under a variety of different conditions. This R program was modeled on Martin Farrall's Mathematica notebook.

Maintained by Daniel E. Weeks. Last updated 3 years ago.

8.7 match 1.00 score 10 scripts

cran

tis:Time Indexes and Time Indexed Series

Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.

Maintained by Brian Salzer. Last updated 3 years ago.

1.9 match 4.60 score 206 scripts 6 dependents

mattheaphy

actxps:Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports

Experience studies are used by actuaries to explore historical experience across blocks of business and to inform assumption setting activities. This package provides functions for preparing data, creating studies, visualizing results, and beginning assumption development. Experience study methods, including exposure calculations, are described in: Atkinson & McGarry (2016) "Experience Study Calculations" <https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>. The limited fluctuation credibility method used by the 'exp_stats()' function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to Credibility Theory".

Maintained by Matt Heaphy. Last updated 2 months ago.

1.3 match 14 stars 6.38 score 23 scripts

ropensci

yfR:Downloads and Organizes Financial Data from Yahoo Finance

Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system and support for parallel computation.

Maintained by Marcelo Perlin. Last updated 9 months ago.

1.1 match 44 stars 7.37 score 119 scripts 1 dependents

epiverse-trace

cleanepi:Clean and Standardize Epidemiological Data

Cleaning and standardizing tabular data package, tailored specifically for curating epidemiological data. It streamlines various data cleaning tasks that are typically expected when working with datasets in epidemiology. It returns the processed data in the same format, and generates a comprehensive report detailing the outcomes of each cleaning task.

Maintained by Karim Mané. Last updated 3 days ago.

data-cleaning epidemiology epiverse

1.1 match 9 stars 7.44 score 19 scripts

rafael-ayala

NutrienTrackeR:Food Composition Information and Dietary Assessment

Provides a tool set for food information and dietary assessment. It uses food composition data from several reference databases, including: 'USDA' (United States), 'CIQUAL' (France), 'BEDCA' (Spain), 'CNF' (Canada) and 'STFCJ' (Japan). 'NutrienTrackeR' calculates the intake levels for both macronutrient and micronutrients, and compares them with the recommended dietary allowances (RDA). It includes a number of visualization tools, such as time series plots of nutrient intake, and pie-charts showing the main foods contributing to the intake level of a given nutrient. A shiny app exposing the main functionalities of the package is also provided.

Maintained by Rafael Ayala. Last updated 2 years ago.

3.8 match 2.18 score 15 scripts

bioc

methylclock:Methylclock - DNA methylation-based clocks

This package allows to estimate chronological and gestational DNA methylation (DNAm) age as well as biological age using different methylation clocks. Chronological DNAm age (in years) : Horvath's clock, Hannum's clock, BNN, Horvath's skin+blood clock, PedBE clock and Wu's clock. Gestational DNAm age : Knight's clock, Bohlin's clock, Mayne's clock and Lee's clocks. Biological DNAm clocks : Levine's clock and Telomere Length's clock.

Maintained by Dolors Pelegri-Siso. Last updated 5 months ago.

dnamethylation biologicalquestion preprocessing statisticalmethod normalization cpp

1.3 match 39 stars 6.52 score 28 scripts

ketsiaguichard

telraamStats:Retrieval and Visualization of Mobility Data from 'Telraam' Sensors

Streamline the processing of 'Telraam' data, sourced from open data mobility sensors. These tools range from data retrieval (without the need for API knowledge) to data visualization, including data preprocessing.

Maintained by Ketsia Guichard. Last updated 10 months ago.

2.0 match 1 stars 4.04 score 11 scripts

lwheinsberg

dbGaPCheckup:dbGaP Checkup

Contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.

Maintained by Lacey W. Heinsberg. Last updated 1 years ago.

1.6 match 4 stars 4.86 score 18 scripts

drg-123

IIS:Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics

These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.

Maintained by Grant Schneider. Last updated 1 months ago.

4.5 match 1.74 score 55 scripts

cran

SunsVoc:Constructing Suns-Voc from Outdoor Time-Series I-V Curves

Suns-Voc (or Isc-Voc) curves can provide the current-voltage (I-V) characteristics of the diode of photovoltaic cells without the effect of series resistance. Here, Suns-Voc curves can be constructed with outdoor time-series I-V curves [1,2,3] of full-size photovoltaic (PV) modules instead of having to be measured in the lab. Time series of four different power loss modes can be calculated based on obtained Isc-Voc curves. This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0008172. Jennifer L. Braid is supported by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy administered by the Oak Ridge Institute for Science and Education (ORISE) for the DOE. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract number DE-SC0014664. [1] Wang, M. et al, 2018. <doi:10.1109/PVSC.2018.8547772>. [2] Walters et al, 2018 <doi:10.1109/PVSC.2018.8548187>. [3] Guo, S. et al, 2016. <doi:10.1117/12.2236939>.

Maintained by Tyler J. Burleyson. Last updated 4 years ago.

3.9 match 2.00 score

akiriliouk

tailDepFun:Minimum Distance Estimation of Tail Dependence Models

Provides functions implementing minimal distance estimation methods for parametric tail dependence models, as proposed in Einmahl, J.H.J., Kiriliouk, A., Krajina, A., and Segers, J. (2016) <doi:10.1111/rssb.12114> and Einmahl, J.H.J., Kiriliouk, A., and Segers, J. (2018) <doi:10.1007/s10687-017-0303-7>.

Maintained by Anna Kiriliouk. Last updated 4 years ago.

3.6 match 2.11 score 13 scripts

theeliteanalyst

Riex:IEX Stocks and Market Data

Retrieves efficiently and reliably Investors Exchange ('IEX') stock and market data using 'IEX Cloud API'. The platform is offered by Investors Exchange Group (IEX Group). Main goal is to leverage 'R' capabilities including existing packages to effectively provide financial and statistical analysis as well as visualization in support of fact-based decisions. In addition, continuously improve and enhance 'Riex' by applying best practices and being in tune with users' feedback and requirements. Please, make sure to review and acknowledge Investors Exchange Group (IEX Group) terms and conditions before using 'Riex' (<https://iexcloud.io/terms/>).

Maintained by Myriam Ibrahim. Last updated 4 years ago.

finance financial-analysis financial-data iex iex-api iexcloud

1.6 match 9 stars 4.69 score 11 scripts

cran

EHR:Electronic Health Record (EHR) Data Processing and Analysis Tool

Process and analyze electronic health record (EHR) data. The 'EHR' package provides modules to perform diverse medication-related studies using data from EHR databases. Especially, the package includes modules to perform pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell, Roden, Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>. Additional modules will be added in future. In addition, this package provides various functions useful to perform Phenome Wide Association Study (PheWAS) to explore associations between drug exposure and phenotypes obtained from EHR data, as outlined in Choi, Carroll, Beck, Mosley, Roden, Denny, and Van Driest (2018) <doi:10.1093/bioinformatics/bty306>.

Maintained by Leena Choi. Last updated 2 years ago.

2.0 match 3.60 score

cran

EngrExpt:Data sets from "Introductory Statistics for Engineering Experimentation"

Datasets from Nelson, Coffin and Copeland "Introductory Statistics for Engineering Experimentation" (Elsevier, 2003) with sample code.

Maintained by Douglas Bates. Last updated 16 years ago.

3.5 match 2.05 score 113 scripts

wagathu

StockDistFit:A Package for Fitting Stock Price Distributions

The `StockDistFit` package provides functions for fitting probability distributions to stock price data. The package uses maximum likelihood estimation to find the best-fitting distribution for a given stock. It also offers a function to fit several distributions to one or more assets and compare the distribution with the Akaike Information Criterion (AIC) and then pick the best distribution.

Maintained by Brian Njuguna. Last updated 2 years ago.

1.9 match 3.70 score 9 scripts

ssi-dk

aedseo:Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels

A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) <doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>. Seasonal burden level calculations have been inspired by The Moving Epidemic Method (MEM), see Vega and Lozano (2012) <doi:10.1111/j.1750-2659.2012.00422.x>.

Maintained by Lasse Engbo Christiansen. Last updated 4 days ago.

1.2 match 1 stars 5.72 score 8 scripts

richierocks

rebus.datetimes:Date and Time Extensions for the 'rebus' Package

Build regular expressions piece by piece using human readable code. This package contains date and time functionality, and is primarily intended to be used by package developers.

Maintained by Richard Cotton. Last updated 2 years ago.

1.8 match 1 stars 3.78 score 4 scripts 4 dependents

cran

medExtractR:Extraction of Medication Information from Clinical Text

Function and support for medication and dosing information extraction from free-text clinical notes. Medication entities for the basic medExtractR implementation that can be extracted include drug name, strength, dose amount, dose, frequency, intake time, dose change, and time of last dose. The basic medExtractR is outlined in Weeks, Beck, McNeer, Williams, Bejan, Denny, Choi (2020) <doi: 10.1093/jamia/ocz207>. The extended medExtractR_tapering implementation is intended to extract dosing information for more tapering schedules, which are far more complex. The tapering extension allows for the extraction of additional entities including dispense amount, refills, dose schedule, time keyword, transition, and preposition.

Maintained by Leena Choi. Last updated 3 years ago.

2.1 match 3.18 score 9 scripts

h-rabiee

RJalaliDate:Handling Jalali Date (Persian / Solar Hijri)

Jalali calendar, or solar Hijri, is calendar of Iran and Afghanistan (<https://en.wikipedia.org/wiki/Solar_Hijri_calendar>). This package is designed to working with Jalali date. For this purpose, It defines JalaliDate class that is similar to Date class.

Maintained by Hosein Rabiee. Last updated 6 months ago.

6.5 match 1.00 score 1 scripts