Rlottie is a platform independent standalone c++ library for rendering vector based animations and art in realtime.

This package provides tools for quality control, analysis and visualization of Illumina DNA methylation array data.

This package is intended to help users to efficiently analyze genomic data resulting from various experiments.

This package completes R's functional programming tools with missing features present in other programming languages.

ripMIME is a small program to extract the attached files out of a MIME-encoded email package.

Affymetrix Affymetrix AG Array annotation data (chip ag) assembled using data from public repositories.

This package provides a package containing an environment representing the HGU133Plus2_Hs_Hspec.cdf file.

This package provide a method for doing gene set analysis based on multiple omics data.

This package provides functions for computing and displaying sample size information for gene expression arrays.

Inference of protein activity from gene expression data, including the VIPER and msVIPER algorithms.

This package performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.

Copula-based imputation methods: parametric and nonparametric algorithms for missing multivariate data through conditional copulas.

Allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.

This package provides classes and methods for spatially explicit land use change modelling in R.

Various functions for random number generation, density estimation, classification, curve fitting, and spatial data analysis.

Implementation of discriminant analysis with network structures in predictors accommodated to do classification and prediction.

This package provides functions and data sets for the text Probability and Statistics with R.

Connects to the API of <https://pushshift.io/> to search for Reddit comments and submissions.

Fits complex parametric models using the method proposed by Cox and Kartsonaki (2012) without likelihoods.

Proposes an application for sequence prediction generalizing the similarity within the network of previous sequences.

Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.

Two-stage procedure compares hazard rate functions, which may or may not cross each other.

This package provides templates and functions to simplify the production and maintenance of curriculum vitae.

Generating functions for both optimal and ordinary difference sequences, and the difference-based estimation functions.