Interactive box plot using plotly for clinical trial analysis.

Computation of Multiscale Codependence Analysis and spatial eigenvector maps.

Create pie, donut and rose pie plot with ggplot2'.

Persistent reproducible reporting by containerization of R Markdown documents.

Fit multivariate mixture of normal distribution using covariance structure.

Fit and simulate mixtures of von Mises-Fisher distributions.

The noweb system for source code, implemented in R.

Algorithms and subroutines for patient-reported outcome data analysis.

Asks Yes-No questions with variable or custom responses.

Simulation and Inference for SDEs and Other Stochastic Processes.

This package implements some simple graph handling capabilities for R.

This package is designed to streamline scATAC analyses in R.

This package provides data sets for econometrics, including political science.

Supporting decision making involving multiple criteria. Annice Najafi, Shokoufeh Mirzaei (2025) RMCDA: The Comprehensive R Library for applying multi-criteria decision analysis methods, Volume 24, e100762 <doi:10.1016/j.simpa.2025.100762>.

Create custom keyboard shortcuts to examine code selected in the Rstudio editor. F3 can for example yield str(selection) and F7 open the source code of CRAN and base package functions on github'.

This package provides random number generating functions that are much more context aware than the built-in functions. The functions are also much safer, as they check for incompatible values, and more reproducible.

Estimates disease prevalence for a given index date using existing registry data extended with Monte Carlo simulations following the method of Crouch et al (2014) <doi: 10.1016/j.canep.2014.02.005>.

Enables the use of color palettes inspired by the Dune movies. These palettes are compatible with ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on ggplot2'.

This package provides an R interface to the JAGS MCMC library. JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation.

This package supports arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental functions. To this end, the package interfaces with the Multiple Precision Floating-Point Reliable (MPFR) library.

r-rvest helps you scrape information from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like BeautifulSoup.

An HTTP API client for Lemmy (<https://github.com/LemmyNet/lemmy>) in R. Code and documentation are generated from the official JavaScript client source (<https://github.com/LemmyNet/lemmy-js-client>).

An interactive data visualization and exploration toolkit that implements Breiman and Cutler's original random forest Java based visualization tools in R, for supervised and unsupervised classification and regression within the algorithm random forest.

Bayesian inference on the (discrete) power spectrum of time series.