RTMPdump is a toolkit for RTMP streams. All forms of RTMP are supported, including rtmp://, rtmpt://, rtmpe://, rtmpte://, and rtmps://.

ast is a Ruby library for working with Abstract Syntax Trees. It does this through immutable data structures.

This package provides a tbl_df class that offers better checking and printing capabilities than traditional data frames.

This GEWIST package provides statistical tools to efficiently optimize SNP prioritization for gene-gene and gene-environment interactions.

Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.

Discrete factor analysis for dependent Poisson and negative binomial models with truncation, zero inflation, and zero inflated truncation.

This package provides methods for fitting macroevolutionary models to phylogenetic trees Pennell (2014) <doi:10.1093/bioinformatics/btu181>.

Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.

This package provides a collection of statistical tests for genetic association studies and summary data based Mendelian randomization.

Create tables from within R directly on Google Slides presentations. Currently supports matrix, data.frame and flextable objects.

Calculates MeDiA_K (means Mean Distance Association by K-nearest neighbor) in order to detect nonlinear associations.

Quickly create numeric matrices for machine learning algorithms that require them. It converts factor columns into onehot vectors.

This package provides tools for (automated and manual) quality control of the results of Genome Wide Association Studies.

This package provides tools for (automated and manual) quality control of the results of Epigenome-Wide Association Studies.

This package provides a ggplot2 theme and colour palettes to create accessible data visualisations in the Scottish Government.

This package provides a platform for computing competition indices and experimenting with spatially explicit individual-based vegetation models.

This package provides tools for scraping information from webpages and other XML contents, using XPath or CSS selectors.

Fast flattening of hierarchical data structures (e.g. JSON, XML) into data.frames with a flexible spec language.

Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.

This package provides a Stata-style `webuse()` function for importing named datasets from Stata's online collection.

The goal of rlowdb is to provide a lightweight, file-based JSON database. Inspired by LowDB in JavaScript', it generates an intuitive interface for storing, retrieving, updating, and querying structured data without requiring a full-fledged database system. Ideal for prototyping, small-scale applications, and lightweight data management needs.

This package provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient C++ backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.

Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.

R/GSEPD is a bioinformatics package for R to help disambiguate transcriptome samples (a matrix of RNA-Seq counts at transcript IDs) by automating differential expression (with DESeq2), then gene set enrichment (with GOSeq), and finally a N-dimensional projection to quantify in which ways each sample is like either treatment group.