SparseGrid is a package to create sparse grids for numerical integration, based on code from www.sparse-grids.de.

It creates an invisible layer that allow to see the Seurat object as tibble and interact seamlessly with the tidyverse.

Combine a list of taxa with a phylogeny to generate a starting tree for use in total evidence dating analyses.

Streamlines data preprocessing, analysis, and visualization for association rule mining. Designed to work with the arules package, features include discretizing data frames, generating rule set intersections, and visualizing rules with heatmaps and Euler diagrams. RulesTools also includes a dataset on Brook trout detection from Nolan et al. (2022) <doi:10.1007/s13412-022-00800-x>.

Extracts information from text using lookup tables of regular expressions. Each text entry is compared against all patterns, and all matching patterns and their corresponding substrings are returned. If a text entry matches multiple patterns, multiple rows are generated to capture each match. This approach enables comprehensive pattern coverage when processing large or complex text datasets.

Leverages the functionality of clipboard.js', a JavaScript library for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com> for more information), and provides a reactive copy-to-clipboard UI button component, called rclipButton', and a a reactive copy-to-clipboard UI link component, called rclipLink', for shiny R applications.

Leverages the functionality of clipboard.js', a JavaScript library for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com> for more information), and provides a reactive copy-to-clipboard UI button component, called rclipButton', and a a reactive copy-to-clipboard UI link component, called rclipLink', for shiny R applications.

This LLVM component provides tooling, runtimes and APIs for executing code on accelerators which may have a different architecture than the host.

When mutex_m is required, any object that extends or includes Mutex_m will be treated like a Mutex.

WEBrick is an HTTP server toolkit that can be configured as an HTTPS server, a proxy server, and a virtual-host server.

Codelink UniSet Human I Bioarray (~10 000 human genes) annotation data (chip h10kcod) assembled using data from public repositories.

This package provides a simple client package for the Amazon Web Services ('AWS') Lambda API <https://aws.amazon.com/lambda/>.

Estimates dose-response relations from summarized dose-response data and to combines them according to principles of (multivariate) random-effects models.

This is a collection of data files for exploring sightings of wild things, relative to weather and tourism patterns in Australia.

This package implements various methods for estimating fractal dimension of time series and 2-dimensional data <doi:10.1214/11-STS370>.

Fit the vector autoregressive model for multiple individuals using the OpenMx package (Hunter, 2017 <doi:10.1080/10705511.2017.1369354>).

This package provides a collection of enhancements to ggplot2', with a focus on creating Universally Designed, accessible graphs easily and quickly.

This package provides examples of code for analyzing data or accomplishing tasks that may be useful to institutional or educational researchers.

Structural T1 magnetic resonance imaging ('MRI') data from the Kirby21 reproducibility study <doi:10.1016/j.neuroimage.2010.11.047>.

Fit linear models based on periodic splines, moderate model coefficients using multivariate adaptive shrinkage, then compute properties of the moderated curves.

Replace the standard print method for functions with one that performs syntax highlighting, using ANSI colors, if the terminal supports them.

Data about Disney Pixar films provided by Wikipedia. This package contains data about the films, the people involved, and their awards.

It enables sparklyr to integrate with Spark Connect', and Databricks Connect by providing a wrapper over the PySpark python library.

This package provides a graphical user interface for cross-sectional network modeling with the statnet software suite <https://github.com/statnet>.