Computer Modern font for use with extrafont package.

Probability distributions that are sometimes useful in hydrology.

Interactively edit ggplot2 layer and theme aesthetics definitions.

Tabulate and plot directional and other multivariate histograms.

Generalise the starting point of the array index.

Nucleosome positioning for Tiling Arrays and NGS experiments.

Rust library for reading and writing Zip files.

Rust library for reading and writing Zip files.

This package provides a library for parallel compression.

This crate provides X11 library bindings for Rust.

This package provides types for handling UI scaling.

This package provides a time toolkit for chrono.

Electronic Codebook (ECB) block cipher mode of operation

This package provides a collection of utility functions.

This package provides a collection of utility functions.

Runtime support for perfect hash function data structures.

This package provides a collection of utility functions.

This package provides the X color name database.

Estimation of Bayes and local Bayes false discovery rates for replicability analysis (Heller & Yekutieli, 2014 <doi:10.1214/13-AOAS697> ; Heller at al., 2015 <doi: 10.1093/bioinformatics/btu434>).

This package provides subsets with reference semantics, i.e. subsets which automatically reflect changes in the original object, and which optionally update the original object when they are changed.

Calculation of ratios between two data sets containing environmental data like element concentrations by different methods. Additionally plant element concentrations can be corrected for adhering particles (soil, airborne dust).

The package provides a method to infer the set of proteins that are more probably to work together to maintain chormatin interaction given a ChIA-PET experiment results.

RGL is a framework for graph data structures and algorithms. The design of the library is much influenced by the Boost Graph Library (BGL) which is written in C++.

This package performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.