This package contains functions for visualization univariate data: ccdplot and qddplot.

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 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>.

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.

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. It provides approximate, exact searches, fixed radius searches, bd and kb trees.

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 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.

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>.

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.

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.

This package provides graphical user interfaces to organize and visualize Nanopore sequencing data.

This package provides unit root and cointegration tests encountered in applied econometric analysis.

This package provides functionality for generating (randomized) quasi-random numbers in high dimensions.

This package provides tools for the estimation and simulation of latent variable models.

This package provides tools to normalize (several) Hi-C data from replicates.

Integrative copy number variation (CNV) detection from multiple platform and experimental design.

The package is designed to detect marker genes from RNA-seq data.

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.

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

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