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

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

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.

ChIA-PET example datasets and additional data for use with the diffloop package.

This package provides a package containing an environment representing the Ecoli_ASv2.CDF file.

Agilent Human 1B annotation data (chip hgug4111a) assembled using data from public repositories.

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.

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

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

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

Written in C++ using Rcpp, this package provides a collection of metrics for evaluating models.

The layout design is relatively straightforward; the class uses the Bookman and the BrushScript-Italic fonts.

This package provides a simple and easy-to-use logging facility for Rust's log crate

This package provides Formats whitespace in a SQL string to make it easier to read.

Automatic generation of quizzes or individual questions for learnr tutorials based on R/exams exercises.

This package provides utilities for reading and processing microdata from Spanish official statistics with R.

Trains neural networks (multilayer perceptrons with one hidden layer) for bi- or multi-class classification.