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

ICGE is a package that helps to estimate the number of real clusters in data as well as to identify atypical units. The underlying methods are based on distances rather than on unit x variables.

This package provides a collection of algorithms and functions to aid statistical modeling. It includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. It also includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

This package provides tools to estimate parameters of accumulated damage (load duration) models based on failure time data under a Bayesian framework, using Approximate Bayesian Computation (ABC), and to assess long-term reliability under stochastic load profiles.

This package defines the generic method extract and provides openMP support as needed in several packages like aws, adimpro, fmri, and dwi.

This package provides configurable progress bars. They may include percentage, elapsed time, and/or the estimated completion time. They work in terminals, in Emacs ESS, RStudio, Windows Rgui, and the macOS R.app. The package also provides a C++ API, that works with or without Rcpp.

This package provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.

This package provides functions for importing and handling text files and formatted text files with additional meta-data, such including .csv, .tab, .json, .xml, .html, .pdf, .doc, .docx, .rtf, .xls, .xlsx, and others.

This package provides a pure R implementation of the t-SNE algorithm.

This package provides an Rstudio add-in that delivers a graphical interface for editing ggplot2 theme elements.

This package provides functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).

This package provides tools for circular statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

This package provides a simple, consistent interface to working with XML files in R. It is built on top of the libxml2 C library.

This package provides font files that can be used by the showtext package.

This package finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library. It provides approximate, exact searches, fixed radius searches, bd and kb trees.

This package provides tools for the estimation and simulation of latent variable models.

This package provides Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.

This package provides empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. It also does regression.

This is a package for estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.

This package provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) as described in "Astronomical Algorithms" by Jean Meeus (1991). A resource for researchers and professionals working in fields such as climatology, biology, and renewable energy.

This package provides a system for organizing column names in data. It is aimed at supporting a prefix-based and suffix-based column naming scheme. It extends dplyr functionality to add ordering by function and more explicit renaming.

This package provides a complete environment for Bayesian inference using a variety of different samplers.

This package provides R functions implementing a standard unit testing framework, with additional code inspection and report generation tools.

Alabama stands for Augmented Lagrangian Adaptive Barrier Minimization Algorithm; it is used for optimizing smooth nonlinear objective functions with constraints. Linear or nonlinear equality and inequality constraints are allowed.