This package contains tools to support the construction of tcltk widgets in R.

This is a package for the estimation, validation and prediction of kriging models.

HashDiff is a Ruby library to compute the smallest difference between two hashes.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

Unknown annotation data (chip hgubeta7) assembled using data from public repositories.

Platform Design Info for The Manufacturer's Name HG-Focus.

Platform Design Info for The Manufacturer's Name U133_X3P.

Platform Design Info for The Manufacturer's Name S_aureus.

Platform Design Info for The Manufacturer's Name Canine_2.

Platform Design Info for The Manufacturer's Name HG-U133B.

Platform Design Info for The Manufacturer's Name HG-U133A.

This package contains all the datasets used in the PepsNMR package.

This package provides tools for assessing equivalence of similar Logistic Regression models.

Different regularization approaches for Cox Frailty Models by penalization methods are provided.

An extension of ExPosition for two table analyses, specifically, discriminant analyses.

For when your colors absolutely should not be excluded from the narrative.

This package provides a collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).

Interaction with "RevBayes" via R. Objects created in "RevBayes" can be passed into the R environment, and many types can be converted into similar R objects. To download "RevBayes", go to <https://revbayes.github.io/download>.

This package serves two purposes:

1. Provide a comfortable R interface to query the Google server for static maps, and

2. Use the map as a background image to overlay plots within R. This requires proper coordinate scaling.

Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may pass data from one step to another.