Affymetrix Affymetrix MG_U74C Array annotation data (chip mgu74c) assembled using data from public repositories.

Perform ontological exploration of scRNA-seq of 1.3 million mouse neurons from 10x genomics.

Affymetrix Affymetrix Yeast_2 Array annotation data (chip yeast2) assembled using data from public repositories.

Create randomizations for block random clinical trials. Can also produce a pdf file of randomization cards.

This is an implementation of BART:Bayesian Additive Regression Trees, by Chipman, George, McCulloch (2010).

Design functions for DCMs and other types of choice studies (including MaxDiff and other tradeoffs).

This package implements Monte Carlo conditional inference for the parameters of a linear nonnormal regression model.

Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.

Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.

Easily explore data by creating ggplots through a (shiny-)GUI. R-code to recreate graph provided.

Reproducible, programmatic retrieval of datasets from the Inter-university Consortium for Political and Social Research archive.

Plot, process, and analyze NPO files produced by Nonpareil <http://enve-omics.ce.gatech.edu/nonpareil/>.

Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.

This package creates D3 JavaScript scatterplots from R with interactive features : panning, zooming, tooltips, etc.

Fit and selects point pattern models based on minimum contrast, AIC and and goodness of fit.

This package provides a tool for checking how much information is disclosed when reporting summary statistics.

This package helps accessing files relative to a project root. It provides helpers for robust, reliable and flexible paths to files below a project root. The root of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.

This package provides functions to visualize ROBUST-RCT assessments, as introduced by Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. Through a two-step workflow (step 1 and step 2), the package generates bar plots and traffic-light plots that match standard Cochrane styles.

This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.

Sankey plots are a type of diagram that is convenient to illustrate how flow of information, resources etc. separates and joins, much like observing how rivers split and merge. For example, they can be used to compare different clusterings. This package provides an implementation of Sankey plots for R.

Package provides CNV (based on Merge snp) datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Retrieving +Data+Using+the+Data+Matrix. Data from 2015-11-01 snapshot.

The RQuantLib package makes parts of QuantLib accessible from R The QuantLib project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.

Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.

This package provides a series of functions that allow users to access the LinkedIn API to get information about connections, search for people and jobs, share updates with their network, and create group discussions. For more information about using the API please visit <https://developer.linkedin.com/>.