This package provides tools for regression subset selection, including exhaustive search.

The Redland RDF Library (librdf) provides the RDF API and triple stores.

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.

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.

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.

An implementation of robust bent line regression. It can fit the bent line regression and test the existence of change point, for the paper, "Feipeng Zhang and Qunhua Li (2016). Robust bent line regression, submitted.".

This package provides a model agnostic tool for white-box model trained on features extracted from a black-box model. For more information see: Gosiewska et al. (2020) <doi:10.1016/j.dss.2021.113556>.

This package provides functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <https://www.wiley.com/en-us/Reinsurance%3A+Actuarial+and+Statistical+Aspects-p-9780470772683>.

Evaluates acute lymphoblastic leukemia maintenance therapy practice at patient and cohort level.

Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009).

Selection of the number of clusters in cluster analysis using stability methods.

This package provides functions for setting up and analyzing event history data.

Easily creating empirical distribution functions from data: dfun', pfun', qfun and rfun'.

This package provides tools to support sensible statistics for functional response analysis.

Estimate parameters of univariate probability distributions with maximum likelihood and Bayesian methods.

Scrapes Google Citation pages and creates data frames of citations over time.

Cubic spline fitting along with knot selection, includes support for additional variables.

This package provides functions to calculate lunar and other related environmental covariates.

It names the R Markdown chunks of files based on the filename.

Estimation of structural equation models with nonlinear effects and underlying nonnormal distributions.

Makes NCBI taxonomic data locally available and searchable as an R object.

Sample size estimation and blinded sample size reestimation in Adaptive Study Design.