The RSP markup language provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. Today's date is <%=Sys.Date()%>. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. RSP is ideal for self-contained scientific reports and R package vignettes.

rocBLAS is the ROCm Basic Linear Algebra Subprograms (BLAS) library. rocBLAS is implemented in the HIP programming language and optimized for AMD GPUs.

Coerce R object to asciidoc', txt2tags', restructuredText', org', textile or pandoc syntax. Package comes with a set of drivers for Sweave'.

Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.

This package provides functions to run the CRM and TITE-CRM in phase I trials and calibration tools for trial planning purposes.

Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).

Interface for g3-lollipop JavaScript library. Visualize genetic mutation data using an interactive lollipop diagram in RStudio or your web browser.

Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets, Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>.

Calculates irrigation water quality ratios and has functions that could be used to plot several popular diagrams for irrigation water quality classification.

Statistical inference for quadratic functional of the moderate-dimensional linear model in Guo and Cheng (2021) <DOI:10.1080/01621459.2021.1893177>.

Several function related to Experimental Design are implemented here, see "Optimal Experimental Design with R" by Rasch D. et. al (ISBN 9781439816974).

This package provides a suite of likelihood ratio test based methods to use in pharmacovigilance. Contains various testing and post-processing functions.

Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.

This package implements the robust algorithm for fitting finite mixture models based on quantile regression proposed by Emir et al., 2017 (unpublished).

This package provides a simple, light, and robust interface between R and the Scryfall card data API <https://scryfall.com/docs/api>.

Fast and regularized version of GWR for large dataset, detailed in Murakami, Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arXiv:1905.00266>.

We provide functions for estimation and inference of nonlinear and non-stationary time series regression using the sieve methods and bootstrapping procedure.

Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.

This package provides functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.

Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.

Data from 6 gpr files aims to identify differential expressed genes between the beta 7+ and beta 7- memory T helper cells.

Package for assessing the statistical significance of periodic expression based on Fourier analysis and comparison with data generated by different background models.

This package provides tools to detect Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data.

This package provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.