agilent AMADID 026652 annotation data (chip hgug4845a) assembled using data from public repositories.

This package provides a package containing an environment representing the Mouse430_2.cdf file.

This package provides a package containing an environment representing the PrimeView.cdf file.

This package provides a package containing an environment representing the Sugar_Cane.cdf file.

This package provides a collection of tools for the estimation of animals home range.

S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980).

Implement download buttons in HTML output from rmarkdown without the need for runtime:shiny'.

This package creates ideal data for all distributions in the generalized linear model framework.

This package provides tools for calculating Laspeyres, Paasche, and Fisher price and quantity indices.

Discover OpenID Connect endpoints and authenticate using device flow. Used by MOLGENIS packages.

Includes assorted tools for network analysis. Bridge centrality; goldbricker; MDS, PCA, & eigenmodel network plotting.

Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.

This package provides a toolbox that allows the user to implement accessibility related concepts.

Database of genes which frequently sustain somatic mutations, but are unlikely to drive cancer.

An R wrapper for the Spotify Web API <https://developer.spotify.com/web-api/>.

This package performs Three-Mode Principal Components Analysis, which carries out Tucker Models.

This package provides functions for building customized ready-to-export tables for publication.

Datasets and definitions of generic functions used in dependencies of the xergm package.

Praat <https://www.fon.hum.uva.nl/praat/> is a widely used tool for manipulating, annotating and analyzing speech and acoustic data. It stores annotation data in a format called a TextGrid'. This package provides a way to read these files into R.

This package provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) <arXiv:2011.14195>.

This package provides bindings to an R grammar for Tree-sitter', to be used alongside the treesitter package. Tree-sitter builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited.

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

This package contains the Homo.sapiens object to access data from several related annotation packages.

This package models with sparse and dense matrix matrices, using modular prediction and response module classes.