Slick Call Stacks

Better looking call stacks after an error.

Run CRAN URL Checks from Older R Versions

Provide the URL checking tools available in R 4.1+ as a package for earlier versions of R. Also uses concurrent requests so can be much faster than the serial versions.

Raw System Credential Store Access from R

Aims to support all features of the system credential store, including non-portable ones. Supports 'Keychain' on 'macOS', and 'Credential Manager' on 'Windows'. See the 'keyring' package if you need a portable 'API'.

The Iterative Signature Algorithm

The ISA is a biclustering algorithm that finds modules in an input matrix. A module or bicluster is a block of the reordered input matrix.

Praise Users

Build friendly R packages that praise their users if they have done something good, or they just need it to feel better.

Create Rich Command Line Applications

Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes. This package is now superseded by the 'cli' package. Please use 'cli' instead in new projects.

Notifications from 'Shiny'

Browser notifications in 'Shiny' apps, using 'toastr': < https://github.com/CodeSeven/toastr#readme>.

C Resource Cleanup via Exit Handlers

Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.

Time-Frequency Analysis of 1-D Signals

A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.

Create Disposable R Packages for Testing

Create disposable R packages for testing. You can create, install and load multiple R packages with a single function call, and then unload, uninstall and destroy them with another function call. This is handy when testing how some R code or an R package behaves with respect to other packages.