Collection of shiny application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.

Collection of datasets from Sen & Srivastava: "Regression Analysis, Theory, Methods and Applications", Springer. Sources for individual data files are more fully documented in the book.

Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.

This package improves the user experience of Shiny apps by helping to provide feedback when required inputs are missing, or input values are not valid.

Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

Part of Gitoxide, a pure Rust Git implementation. This package contains functions to handle immutable and mutable git objects with decoding and encoding support.

This is an old version of revtex, and is kept as a courtesy to users having difficulty with the incompatibility of that latest version.

XML::RegExp contains regular expressions for the following XML tokens: BaseChar, Ideographic, Letter, Digit, Extender, CombiningChar, NameChar, EntityRef, CharRef, Reference, Name, NmToken, and AttValue.

Fill in a range of numbers or letters, optionally passing an increment or `step` to use, or create a regex-compatible range with `options.toRegex`

Fill in a range of numbers or letters, optionally passing an increment or `step` to use, or create a regex-compatible range with `options.toRegex`

It provides functions to apply the deterministic tracking algorithm - DiST (Wong et al 2016) <doi:10.1214/15-AOAS880> and to plot tractography results.

Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://educationdata.urban.org/> into a data.frame for analysis.

This package implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (1968) <doi:10.1007/BF02162506> for rational minimax approximation.

This package provides functions for the normal Laplace distribution. Currently, it provides limited functionality. Density, distribution and quantile functions, random number generation, and moments are provided.

Query Wikidata API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.

This package provides a replacement for the extract function from the raster package that is suitable for extracting raster values using sf polygons.

This is a subset of the original spatstat package, containing all of the user-level code from spatstat, except for the code for linear networks.

This package lets you fetch data files from a URL, but only if needed. It verifies contents via SHA256 and provides some Python Pooch compatibility.