This package lets you create a reproducible ggplot2 object by storing the data and calls.

automap performs an automatic interpolation by automatically estimating the variogram and then calling gstat.

This package enables conversions between R objects and JavaScript Object Notation (JSON) using the rapidjsonr library.

Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.

This package provides regression models for grouped and coarse data, under the coarsened at random assumption.

This package provides easy-to-use and versatile functions to output R objects in HTML format.

This is a package for slanted matrices and ordered clustering for better visualization of similarity data.

This package provides an implementation of a data cube extracted out of dplyr for backward compatibility.

This is a a Common Lisp re-implementation of the Rails routes system for mapping URLs.

The RSS2email program (r2e) fetches RSS/Atom news feeds, converts them into emails, and sends them.

This package implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.

Model fitting, model selection and parameter tuning procedures for a class of random network models. Many useful network modeling, estimation, and processing methods are included. The work to build and improve this package is partially supported by the NSF grants DMS-2015298 and DMS-2015134.

This package provides a fast and elegant time series visualization package. In addition to the standard R plot types, this package supports candle sticks, open-high-low-close, and volume plots. Useful for visualizing any time series data, e.g., stock prices and technical indicators.

This package implements UbiBic algorithm in R. This biclustering algorithm for analysis of gene expression data was introduced by Zhenjia Wang et al. in 2016. It is currently considered the most promising biclustering method for identification of meaningful structures in complex and noisy data.

This package provides a system for reporting messages, which offers certain useful features over the standard R system, such as the incorporation of output consolidation, message filtering, assertions, expression substitution, automatic generation of stack traces for debugging, and conditional reporting based on the current "output level".

This package provides an interface to access data from the International Union for Conservation of Nature (IUCN) Red List <https://api.iucnredlist.org/api-docs/index.html>. It allows users to retrieve up-to-date information on species conservation status, supporting biodiversity research and conservation efforts.

Data objects in R can be rendered as HTML tables using the JavaScript library ag-grid (typically via R Markdown or Shiny'). The ag-grid library has been included in this R package. The package name RagGrid is an abbreviation of R agGrid'.

This package implements the P-model (Stocker et al., 2020 <doi:10.5194/gmd-13-1545-2020>), predicting acclimated parameters of the enzyme kinetics of C3 photosynthesis, assimilation, and dark respiration rates as a function of the environment (temperature, CO2, vapour pressure deficit, light, atmospheric pressure).

Import data written in the JCAMP-DX format. This is an instrument-independent format used in the field of spectroscopy. Examples include IR, NMR, and Raman spectroscopy. See the vignette for background and supported formats. The official JCAMP-DX site is <http://www.jcamp-dx.org/>.

This package provides tools for the comparison of distributions. This includes nonparametric estimation of the relative distribution PDF and CDF and numerical summaries as described in "Relative Distribution Methods in the Social Sciences" by Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag, ISBN 0387987789.

This package provides methods for caching or memoization of objects and results. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).

rocSOLVER is a work-in-progress implementation of a subset of LAPACK functionality on the ROCm platform.

This package provides Flexible concrete Error Reporting type built on std::error::Error with customizable Reports.

This package creates bubbles within shiny and rmarkdown backgrounds using the bubbly-bg JavaScript library.