Package for modified nearest-neighbor classification based on calculation of a similarity threshold distinguishing within-group from between-group comparisons.

The tool integrates data from biological networks with transcriptomes, displaying a heatmap with surface curves to evidence the altered regions.

An exact and a variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations.

The DALY Calculator is a free, open-source Graphical User Interface (GUI) for stochastic disability-adjusted life year (DALY) calculation.

Perform frequency distribution tables, associated histograms and polygons from vector, data.frame and matrix objects for numerical and categorical variables.

This package provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.

This package provides the density, distribution function, quantile function, random generation, and visualization tools for the Inverted Exponentiated Rayleigh Distribution.

We provide the collection of data-sets used in the book An Introduction to Statistical Learning with Applications in R'.

This package provides a LaTeX Letter class for rmarkdown', using the pandoc-letter template adapted for use with markdown'.

This package provides a toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.

Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.

Calculates the Proactive Conservation Index, a new tool to prioritize species for conservation, which can incorporate information about future threats.

Is designed to make easier printing summary statistics (for continues and factor level) tables in Latex, and plotting by factor.

This package provides a set of functions to implement Time Series Cointegrated System (TSCS) spatial interpolation and relevant data visualization.

Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.

This package provides an implementation of robust nonnegative matrix factorization (rNMF). The rNMF algorithm decomposes a nonnegative high dimension data matrix into the product of two low rank nonnegative matrices, while detecting and trimming outliers. The main function is rnmf(). The package also includes a visualization tool, see(), that arranges and prints vectorized images.

Generates plots from a database connection and a SGL statement. SGL is a graphics language designed to look and feel like SQL'. It is especially useful for those familiar with SQL who want to specify plots in a similar manner. The SGL language is described in Chapman (2025) <doi:10.48550/arXiv.2505.14690>.

This package provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.

This package provides a lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. Domain and public-suffix extraction is delegated to the pslr package, which implements the Public Suffix List from <https://publicsuffix.org>. Punycode and IDNA encoding is handled by the punycoder package.

Connect, query, and operate on information available from the Open Source Vulnerability database <https://osv.dev/>. Although CRAN has vulnerabilities listed, these are few compared to projects such as PyPI'. With tighter integration between R and Python', having an R specific package to access details about vulnerabilities from various sources is a worthwhile enterprise.

This package implements techniques for educational resource inspection, selection, and evaluation (RISE) described in Bodily, Nyland, and Wiley (2017) <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying learning materials that are not effectively supporting student learning in technology-mediated courses by synthesizing information about access to course content and performance on assessments.

This package provides a data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved. See Napolitano (2017) <doi:10.1186/s12859-017-1510-6> for further information.

The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through rbcb functions and can be obtained in different data structures common to R ('tibble', data.frame', xts', ...).

Simple and fast tool for transforming phytosociological vegetation data into digital form for the following analysis. Danihelka, Chrtek, and Kaplan (2012, ISSN:00327786). Hennekens, and Schaminée (2001) <doi:10.2307/3237010>. Tichý (2002) <doi:10.1111/j.1654-1103.2002.tb02069.x>. Wickham, François, Henry, Müller (2022) <https://CRAN.R-project.org/package=dplyr>.