User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.

Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.

This package provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.

This package provides a collection of custom input controls and user interface components for Shiny applications.

This package provides a collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.

This package produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.

An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).

This package provides high level functions for parallel programming with Rcpp. For example, the parallelFor() function can be used to convert the work of a standard serial for loop into a parallel one and the parallelReduce() function can be used for accumulating aggregates or other values.

This package provides an interactive tutorial for the Ren'py visual novel engine, explaining all of its features.

Manual translation from C to Common Lisp of some random number generation functions from the GSL library.

This package provides a safer variant of READ secure against internbombing, excessive input and macro characters.

A pure Ruby AsciiMath parsing and conversion library. AsciiMath is an easy-to-write markup language for mathematics.

This package provides the ActivityWatch server, for secure storage and retrieval of all your quantified self data.

rfc3987 provides routines for parsing and validation of URIs (see RFC 3986) and IRIs (see RFC 3987).

Sass Spec is a test suite for Sass. Test cases are all in the spec directory.

This package provides methods for benchmarking Ruby code, giving detailed reports on the time taken for each task.

Codelink ADME Rat 16-Assay Bioarray annotation data (chip adme16cod) assembled using data from public repositories.

Affymetrix Affymetrix Hu35KsubD Array annotation data (chip hu35ksubd) assembled using data from public repositories.

Affymetrix Affymetrix Hu35KsubA Array annotation data (chip hu35ksuba) assembled using data from public repositories.

Affymetrix Affymetrix HT_HG-U133A Array annotation data (chip hthgu133a) assembled using data from public repositories.

Affymetrix Affymetrix HT_HG-U133B Array annotation data (chip hthgu133b) assembled using data from public repositories.

Affymetrix Affymetrix Hu35KsubB Array annotation data (chip hu35ksubb) assembled using data from public repositories.

Affymetrix Affymetrix Hu35KsubC Array annotation data (chip hu35ksubc) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubA Array annotation data (chip mu19ksuba) assembled using data from public repositories.