Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core Taxon class <https://dwc.tdwg.org/terms/#taxon>).

Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.

This package provides tools to study lineages, grandparenthood, loss of close relatives, kinship networks and other topics in multi-generation populations.

This package provides methods for matrix factorization based on Wang and Stephens (2021) <https://jmlr.org/papers/v22/20-589.html>.

We facilitate the analysis of full factorial mating designs with mixed-effects models. The package contains six vignettes containing detailed examples.

For including external figures into an assembled patchwork. This enables the creation of more complex figures that include images alongside plots.

Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file.

Inference on stochastic differential models Ornstein-Uhlenbeck or Cox-Ingersoll-Ross, with one or two random effects in the drift function.

This package provides a simple way to memoize function results to improve performance by eliminating unnecessary computation or data retrieval activities.

This package provides a set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

This package implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.

Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.

This package implements a method to combine multiple levels of multiple sequence alignment to uncover the structure of complex DNA rearrangements.

Access statistical information on welfare and health in Finland from the Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.

An object model for source text and translations. Find and extract translatable strings. Provide translations and seamlessly retrieve them at runtime.

Download taxonomic databases, convert them into SQLite format, and query them locally for fast, reliable, and reproducible access to taxonomic data.

Concise TAP <http://testanything.org/> compliant unit testing package. Authored tests can be run using CMD check with minimal implementation overhead.

This package provides tools package to extract and analyze data from U SPORTS, the governing body of university sport in Canada.

This package provides the ability to read Unisens data into R. Unisens is a universal data format for multi sensor data.

The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.10.1.

The SaTScan'(TM) <https://www.satscan.org> software uses spatial and space-time scan statistics to detect and evaluate spatial and space-time clusters. With the rsatscan package, you can run the external SaTScan software from within R using R data formats. To successfully select appropriate parameter settings within rsatscan', you must first learn SaTScan'.

The ecocrop model estimates environmental suitability for plants using a limiting factor approach for plant growth following Hackett (1991) <doi:10.1007/BF00045728>. The implementation in this package is fast and flexible: it allows for the use of any (environmental) predictor variable. Predictors can be either static (for example, soil pH) or dynamic (for example, monthly precipitation).

Formats for R Markdown that undo modifications by pandoc and rmarkdown to original latex templates, such as smaller margins, paragraph spacing, and compact titles. In addition, enhancements such as author blocks with affiliations and headers and footers are introduced. All of this functionality is built around plugins that modify the default pandoc template without relying on custom templates.

This package computes differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.