This is an R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.

This package provides tools to fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.

This package provides numerical simulations, and visualizations, of Hubbell's Unified Neutral Theory of Biodiversity (UNTB).

Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.

Data sets for the book Modern Statistics for Modern Biology', S.P. Holmes and W. Huber.

Data sets used in Cayuela and De la Cruz (2022, ISBN:978-84-8476-833-3).

An R interface to the Stark-Parker implementation of an algorithm for bounded-variable least squares.

This package provides a wrapper for the EZC3D library to work with C3D motion capture data.

Model building, surrogate model based optimization and Efficient Global Optimization in combinatorial or mixed search spaces.

Manage your source code dependencies by decorating your existing R code with special, roxygen'-style comments.

Automatic detection of hyperlinks for packages and calls in the text of rmarkdown or quarto documents.

Perform pairwise likelihood inference in latent autoregressive count models. See Pedeli and Varin (2020) for details.

Client for the Office of National Statistics ('ONS') API <https://api.beta.ons.gov.uk/v1>.

This package provides functions to easily convert data to binary formats other programs/machines can understand.

Empirical adjustment of the distribution of variables originating from (regional) climate model simulations using quantile mapping.

Run lapply() calls in parallel by submitting them to gridengine clusters using the qsub command.

Explore synesthesia consistency test data, calculate consistency scores, and classify participant data as valid or invalid.

This package performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.

Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.

This package implements a method for identifying subgroups with superior response relative to the overall sample.

S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.

Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.

An extension for the xml2 package to transform XML documents by applying an xslt style-sheet.

Import, analyze and visualize data from Roche(R) xCELLigence RTCA systems. The package imports real-time cell electrical impedance data into R. As an alternative to commercial software shipped along the system, the Bioconductor package RTCA provides several unique transformation (normalization) strategies and various visualization tools.