Affymetrix Affymetrix HT_Rat230_PM Array annotation data (chip htrat230pm) assembled using data from public repositories.

This package was created by frmaTools version 1.19.3 and hgu133ahsentrezgcdf version 19.0.0.

Imports and cleans opencovid19-fr <https://github.com/opencovid19-fr/data> data on COVID-19 in France.

This package implements methods for post-hoc analysis and visualisation of benchmark experiments, for mlr3 and beyond.

This package provides a set of functions to aid in the production of visuals in ggplot2.

This package provides an interface for working with RStudio preference files to modify settings and addin shortcuts without using point-and-click option menus. Useful for ensuring a unified experience across devices and for enforcing best practices. Also exposes some settings not available in the Global Options dialog.

Starting with a BAM file, this package provides the necessary functions for quality assessment, read start position recalibration, the counting of genomic sequence reads on CDS, 3'UTR, and 5'UTR, and plotting of count data: pairs, log fold-change, codon frequency and coverage assessment, principal component analysis on codon coverage.

Create, convert and install custom RStudio editor themes from Visual Studio Code', Positron and TextMate theme files. Convert themes between TextMate', Visual Studio Code and Positron formats and install bundled ports of popular themes for use in RStudio'. Inspect theme files as tabular data for custom conversion workflows.

This package provides functionality for the compression and decompression of raw bead-level data from the Illumina BeadArray platform.

This package offers methods for estimating statistical changes in time series. These are used for identifying nearby critical transitions.

This package extends Org mode and Org Agenda with support for defining recurring tasks and easily scheduling them.

Requests is a Python HTTP client library. It aims to be easier to use than Python’s urllib2 library.

Bio-logger is a wrapper around Log4r adding extra logging features such as filtering and fine grained logging.

The SnakyHash Ruby library provides classes for normalizing hash keys and look-ups, and a pseudo-object interface.

This Ruby library is controlling and communicating with spawned processes. It is designed after Python's subprocess module.

This package provides objects to manage WebSocket connections to epiviz apps. Other epivizr package use this infrastructure.

Technical performance metrics for differential gene expression experiments using External RNA Controls Consortium (ERCC) spike-in ratio mixtures.

Clontech BD Atlas Long Oligos Mouse 5K annotation data (chip mguatlas5k) assembled using data from public repositories.

Single-cell RNA-seq data for 1.3 million brain cells from E18 mice, generated by 10X Genomics.

Determining the value of Stirling numbers of 1st kind and 2nd kind,references: Bóna,Miklós(2017,ISBN 9789813148840).

Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.

This package contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.

Calculates robust Matthews Correlation Coefficient (MCC), Cohen's Kappa, and robust F-Beta Scores, as introduced by Holzmann and Klar (2026) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.

This package provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.