This package provides the X color name database.

Compiling regression results into a publishable format, conducting post-hoc hypothesis testing, and plotting moderating effects (the effect of X on Y becomes stronger/weaker as Z increases).

This package provides functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets.

This package implements tools designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API).

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 provides a parser for implementing terminal emulators.

This package provides a lightweight logging facade for Rust.

This package provides a lightweight logging facade for Rust.

This package provides Rust friendly bindings to *nix APIs.

This package provides a cat(1) clone with wings.

Calculate robust measures of effect sizes using the bootstrap.

This package provides tools to analyze binary graph objects.

The sample size according to the Bethel's procedure.

Construction and analysis of matrix population models in R.

Analyze and model heteroskedastic behavior in financial time series.

Non-spatial and spatial open-population capture-recapture analysis.

Plot principal component histograms around a bivariate scatter plot.

Plots that illustrate the flow of information or material.

Fragment-level analysis of gas chromatography-massspectrometry metabolomics data.

MS-based metabolomics data processing and compound annotation pipeline.