Affymetrix Affymetrix MOE430A Array annotation data (chip moe430a) assembled using data from public repositories.

Affymetrix Affymetrix Porcine Array annotation data (chip porcine) assembled using data from public repositories.

Affymetrix Human X3P Array annotation data (chip u133x3p) assembled using data from public repositories.

This package provides functions for calculating and evaluating likelihood ratios from uni/multivariate continuous observations.

This package provides flexible examples of LLN and CLT for teaching purposes in secondary school.

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

Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.

This package provides tools for downloading, processing, and reporting daily and finalized GreenFeed data.

Allows user to choose/gate a region on the plot and returns points within it.

This package implements methods to plot periodic data in any arbitrary range on the fly.

Add, share and manage annotations for Shiny applications and R Markdown documents via hypothes.is'.

This package creates a client with queries for the UK Open Banking ('Open Data') API.

Intended to assist in the choice of the sampling strategy to implement in a survey.

Insert Glide JavaScript component into Shiny applications for carousel or assistant-like user interfaces.

Graphs (or networks) and graph component calculations for spatial locations in 1D, 2D, 3D etc.

Support for reading and writing files in StatDataML---an XML-based data exchange format.

This package provides functions that allow for accessing domains and a number of search engines.

un super logiciel de simulation d'electromagnetique qui passe a l'echelle

The RDieHarder package provides an R interface to the DieHarder suite of random number generators and tests that was developed by Robert G. Brown and David Bauer, extending earlier work by George Marsaglia and others. The DieHarder library code is included.

This package provides various tools for developers of R packages interfacing with Stan, including functions to set up the required package structure, S3 generics and default methods to unify function naming across Stan-based R packages, and vignettes with recommendations for developers.

This package provides a simple data science challenge system using R Markdown and Dropbox <https://www.dropbox.com/>. It requires no network configuration, does not depend on external platforms like e.g. Kaggle <https://www.kaggle.com/> and can be easily installed on a personal computer.

Many packages in the r-dcm family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.

This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, randomizeR provides a function for the comparison of randomization procedures.

Implementation of the race/ethnicity prediction method, described in "rethnicity: An R package for predicting ethnicity from names" by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <doi:10.48550/arXiv.2109.09228>.