Data sets and scripts used in the book Generalized Additive Models: An Introduction with R', Wood (2006,2017) CRC.

An implementation of Gini-based weighting approaches in constructing composite indicators, providing functionalities for normalization, aggregation, and ranking comparison.

Streamlines downloading and cleaning biodiversity data from Integrated Digitized Biocollections (iDigBio) and the Global Biodiversity Information Facility (GBIF).

Fits sex-specific life-history models for fish and other taxa where some of the individuals have unknown sex.

Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.

Define, manipulate and plot meshes on simplices, spheres, balls, rectangles and tubes. Directional and other multivariate histograms are provided.

This package provides a non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.

We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.

Defines thresholds for breaking data into a number of discrete levels, minimizing the (mean) squared error within all bins.

This package provides tools to analyze and infer orthology and paralogy relationships between glutamine synthetase proteins in seed plants.

This package provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.

It provides functions to perform permutation conditional random one-sample and two-samples t-tests in a multivariate framework.

This package provides implementations of origin-based and symmetrized minimum covariance determinant (MCD) estimators, together with supporting utility functions.

Generates, plays, and solves Sudoku puzzles. The GUI playSudoku() needs package "tkrplot" if you are not on Windows.

Package designed for working with vectors and lists of vectors, mainly for turning them into other indexed data structures.

This package provides a collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.

Extracts tagged text from markdown manuscripts for inclusion in dynamically generated revision letters. Provides an R markdown template based on papaja::revision_letter_pdf() with comment cross-referencing, a system for managing multiple sections of extracted text, and a way to automatically determine the page number of quoted sections from PDF manuscripts.

This package provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.

This package provides methods to compute chemical similarity between two or more reactions and molecules. Allows masking of chemical substructures for weighted similarity computations. Uses packages rCDK and fingerprint for cheminformatics functionality. Methods for reaction similarity and sub-structure masking are as described in: Giri et al. (2015) <doi:10.1093/bioinformatics/btv416>.

This package provides a differential abundance method for the analysis of microbiome data. radEmu estimates fold-differences in the abundance of taxa across samples relative to "typical" fold-differences. Notably, it does not require pseudocounts, nor choosing a denominator taxon. For more details, see Clausen et al. (2026) <doi:10.1093/biomet/asag009>.

Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from DICOM-RT files. These tools also enable subsequent visualization and statistical analysis of these data.

The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors. Brunner, E., Bathke, A. and Konietschke, F. (2018) <doi:10.1007/978-3-030-02914-2>.

The rfacts package is an R interface to the Fixed and Adaptive Clinical Trial Simulator FACTS. It programmatically invokes FACTS to run clinical trial simulations. It aggregates simulation output data into tidy data frames. These capabilities provide end-to-end automation for large-scale simulation pipelines, and they enhance computational reproducibility.

This package provides an interface to implementations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.