Affymetrix Affymetrix Hu6800 Array annotation data (chip hu6800) assembled using data from public repositories.

FHCRC Genomics Shared Resource Mu22v3 Annotation Data (Mu22v3) assembled using data from public repositories.

FHCRC Genomics Shared Resource Mu15v1 Annotation Data (Mu15v1) assembled using data from public repositories.

This package provides robust model-based clustering using a t-mixture model with Box-Cox transformation.

This package provides a collection of useful functions for working with DNA methylation micro-array data.

This package provides multiple sources of stopwords, for use in text analysis and natural language processing.

This package provides procedures for fitting a principal curve to a data matrix in arbitrary dimensions.

This R package provides a suite of tools to evaluate clustering algorithms, clusterings, and individual clusters.

This package lets you generate random colors, possibly with a given hue or a given luminosity.

This package provides a unified interface to various machine learning algorithms. Confusion matrices are provided too.

This is a a Common Lisp re-implementation of the Rails routes system for mapping URLs.

This Ruby library provides a simple wrapper to bcrypt, a secure hash algorithm for hashing passwords.

Warden is a Rack-based middleware that provides a mechanism for authentication in Ruby web applications.

This package provides a library to extract useful data from HTML documents, suitable for web scraping.

This package provides a high-performance interface for calculating string similarities and distances, leveraging the efficient library RapidFuzz <https://github.com/rapidfuzz/rapidfuzz-cpp>. This package integrates the C++ implementation, allowing R users to access cutting-edge algorithms for fuzzy matching and text analysis.

This package provides an integration of Eigen in R using a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems.

This package provides a collection of efficient and effective tools and algorithms for subgroup discovery and analytics. The package integrates an R interface to the org.vikamine.kernel library of the VIKAMINE system <http://www.vikamine.org> implementing subgroup discovery, pattern mining and analytics in Java.

Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.

Create randomizations for block random clinical trials. Can also produce a pdf file of randomization cards.

This is an implementation of BART:Bayesian Additive Regression Trees, by Chipman, George, McCulloch (2010).

Design functions for DCMs and other types of choice studies (including MaxDiff and other tradeoffs).

Create contour lines for a non regular series of points, potentially from a non-regular canvas.

This package implements Monte Carlo conditional inference for the parameters of a linear nonnormal regression model.

Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.