Connect to WFP's Moda platform to R, download data, and obtain the list of individuals with access to the project along with their access level.
This package provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <DOI:10.1038/srep35404>.
Detect events in time-series data. Combines multiple well-known R packages like forecast and neuralnet to deliver an easily configurable tool for multivariate event detection.
Split experiment sentences by different experiment design given by the user and the result can be used in E-prime (<https://pstnet.com/products/e-prime/>).
Collection of functions to enhance ggplot2 and ggiraph'. Provides functions for exploratory plots. All plot can be a static plot or an interactive plot using ggiraph'.
This package implements a suite of sensitivity analysis tools for instrumental variable estimates as described in Cinelli and Hazlett (2025) <doi:10.1093/biomet/asaf004>.
This package provides utilities for Kokudo Suuchi', the GIS data service of the Japanese government. See <https://nlftp.mlit.go.jp/index.html> for more information.
This package implements L1 and L2 penalized conditional logistic regression with penalty factors allowing for integration of multiple data sources. Implements stability selection for variable selection.
Includes all the datasets of Sampling: Design and Analysis (3rd edition by Sharon Lohr) in R format and additional functions for analyzing and graphing probability samples.
Utility functions to download data from the RESOURCECODE hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
This library provides contracts for Ruby. A contract describes the correct inputs and output for a method, and will raise an error if a incorrect value is found.
This package generates pseudo-random integers. Macros are to provide random integers in a given range, or random dimensions, which can be used to provide random real numbers.
This package provides a minimal R-package to approximately detect global and imported functions or variables from R-source code or R-packages by static code analysis.
Harvest metadata using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) version 2.0 (for more information, see <https://www.openarchives.org/OAI/openarchivesprotocol.html>).
Statistical Methods for Inferring Transmissions of Infectious Diseases from deep sequencing data (SMITID). It allow sequence-space-time host and viral population data storage, indexation and querying.
Estimates previously compiled state-space modeling for mouse-tracking experiments using the rstan package, which provides the R interface to the Stan C++ library for Bayesian estimation.
Snapshots for unit tests using the tinytest framework for R. Includes expectations to test base R and ggplot2 plots as well as console output from print().
RubyProf is a fast code profiler for Ruby. Its features include:
- Speed
Being a C extension, it is many times faster than the standard Ruby profiler.
- Measurement Modes
It can measure program wall time, process time, object allocations and memory usage.
- Reports
A variety of text and cross-referenced HTML reports can be generated.
- Threads
Profiling multiple threads simultaneously is supported.
Despite the predominant use of R for data manipulation and various robust statistical calculations, in recent years, more people from various disciplines are beginning to use R for other purposes. In doing this seemlessly, further tools are needed users to easily and freely write in R for all kinds of purposes. The r2dictionary introduces a means for users to directly search for definitions of terms within the R environment.
Managing data from large scale projects such as The Cancer Genome Atlas (TCGA) for further analysis is an important and time consuming step for research projects. Several efforts, such as Firehose project, make TCGA pre-processed data publicly available via web services and data portals but it requires managing, downloading and preparing the data for following steps. This package provides an extensible R based data client for Firehose pre-processed data.
This package implements the diffusion map method of data parametrization, including creation and visualization of diffusion maps, clustering with diffusion K-means and regression using the adaptive regression model.
Tidygeocoder makes getting data from geocoding services easy. A unified high-level interface is provided for a selection of supported geocoding services and results are returned in tibble format.
Python implementation of the Happy Eyeballs Algorithm described in RFC 6555. Provided with a single file and dead-simple API to allow easy vendoring and integration into other projects.
The sys-uname library provides an interface for gathering information about your current platform. It allows retrieving information such as the OS name, OS version, system name, etc.