This package provides a pure R implementation of the t-SNE algorithm.

This package provides methods for Resampling-based False Discovery Proportion control. A function is provided that provides simultaneous, multi-resolution False Discovery Exceedance (FDX) control as described in Hemerik (2025) <doi:10.48550/arXiv.2509.02376>.

Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.

This package provides a cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.

This package finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library. Provides approximate, exact searches, fixed radius searches, bd and kb trees.

Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) <https://journal.r-project.org/archive/2013/RJ-2013-027/>.

Convenience functions to make some common tasks with right-to-left string printing easier, more convenient and with no need to remember long Unicode characters. Specifically helpful for right-to-left languages such as Arabic, Persian and Hebrew.

Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) <doi:10.1162/08997660260293300>. In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.

Pointwise generation and display of attractors (prefractals) of the random iterated function system (RIFS) for various combinations of probabilistic and geometric parameters of some fixed point sets (protofractals), described by Bukhovets A.G. (2012) <doi:10.1134/S0005117912020154>.

This package provides an R wrapper for BWA alignment algorithms. Both BWA-backtrack and BWA-MEM are available. Convenience function to build a BWA index from a reference genome is also provided. Currently not supported for Windows machines.

This is a package for parallel computing with a network of local and remote workers. It enables fast exchange of results between the workers through a Redis database. Key features include task queues, local caching, and sophisticated error handling.

This package provides methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers.

Use dynamic programming method to solve l1 convex clustering with identical weights.

Builds statistical control charts with exact limits for univariate and multivariate cases.

Calculate false ring proportions from data frames of intra annual density fluctuations.

This package provides arrays with flexible control over dimension dropping when subscripting.

Fits penalized generalized estimating equations to longitudinal data with high-dimensional covariates.

Set of functions for analysis of Principal Coordinates of Phylogenetic Structure (PCPS).

This package provides a simple implementation of the Predictive Information Index ('PII').

To find the certainty of dominance interactions with indirect interactions being considered.

Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.

Procrustes analyses to infer co-phylogenetic matching between pairs of phylogenetic trees.

Densitometric evaluation of the photo-archived quantitative thin-layer chromatography (TLC) plates.

This package performs structured OLS (sOLS) and structured SIR (sSIR).