Simple methods to generate attractive random colors. The random colors are from a wrapper of randomColor.js <https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by IWantHue <https://github.com/medialab/iwanthue>).

This package provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts.

ResourceT is a monad transformer which creates a region of code where you can safely allocate resources.

GlobalID provides a way to generate URIs from a model in Ruby that uniquely identify it.

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Nokogiri (鋸) parses and searches XML/HTML, and features both CSS3 selector and XPath 1.0 support.

Affymetrix Affymetrix MG_U74Av2 Array annotation data (chip mgu74av2) assembled using data from public repositories.

Affymetrix Affymetrix MG_U74Bv2 Array annotation data (chip mgu74bv2) assembled using data from public repositories.

Affymetrix Affymetrix MG_U74Cv2 Array annotation data (chip mgu74cv2) assembled using data from public repositories.

This package provides univariate and multivariate statistics for feature prioritization in untargeted LC-MS metabolomics research.

Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

Deal with packages check outputs and reduce the risk of rejection by CRAN by following policies.

Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.

Decompose a time series into seasonal, trend and irregular components using transformations to amplitude-frequency domain.

This package provides a collection of methods for automated data cleaning where all actions are logged.

Computes the maximum matching for unweighted graph and maximum matching for (un)weighted bipartite graph efficiently.

Routines to generate fully randomized moodle quizzes. It also contains 15 examples and a shiny app.

This package provides a collection of datasets related to neutrosophic sets for statistical modeling and analysis.

Tests the goodness-of-fit to the Normal distribution for the errors of an ARMA model.

Provide functionality for cancer subtyping using nearest centroids or machine learning methods based on TCGA data.

Visualize event logs using directed graphs, i.e. process maps. Part of the bupaR framework.

Simulates a 5 qubit Quantum Computer and evaluates quantum circuits with 1,2 qubit quantum gates.