This package provides a single-header C++11 library for computing Fast Fourier transformations. It supports multidimensional arrays, different floating point sizes and complex transformations.

ArgAgg is yet another C++ command line argument/option parser. It was written as a simple and idiomatic alternative to other frameworks like getopt, Boost program options, TCLAP, and others. The goal is to achieve the majority of argument parsing needs in a simple manner with an easy to use API.

libxsd-frontend is a compiler frontend for the W3C XML Schema definition language. It includes a parser, semantic graph types and a traversal mechanism.

LunaSVG is an SVG rendering library in C++, designed to be lightweight and portable, offering efficient rendering and manipulation of Scalable Vector Graphics (SVG) files.

This package provides a header-only implementation of std::variant (formerly boost::variant) for C++11/14.

PlutoVG is a standalone 2D vector graphics library in C.

Optional lite is a single-file header-only library to represent optional (nullable) objects and pass them by value. The library aims to provide a C++17-like optional for use with C++98 and later. If available, std::optional is used.

This package provides simple property input/output utilities for C++.

Rang is a minimal, header only C++ library for terminal goodies.

The BDE Development Environment libraries provide an enhanced implementation of STL containers, vocabulary types for representing common concepts (like dates and times), and building blocks for developing multi-threaded applications and network applications.

The Clipper library performs line & polygon clipping - intersection, union, difference & exclusive-or, and line & polygon offsetting. The library is based on Vatti's clipping algorithm.

KokkosKernels implements local computational kernels for linear algebra and graph operations, using the Kokkos shared-memory parallel programming model. "Local" means not using MPI, or running within a single MPI process without knowing about MPI.

c2ffi is a tool for extracting definitions from C, C++, and Objective C headers for use with foreign function call interfaces. It uses the Clang/LLVM infrastructure to extract the data, and emits it in various formats, including json.

The AWS Common Runtime (CRT) library provides a C++ wrapper implementation for the following AWS C libraries: aws-c-auth, aws-c-cal, aws-c-common, aws-c-compression, aws-c-event-stream, aws-c-http, aws-c-io, aws-c-mqtt, aws-checksums, and s2n.

GNU Cppi processes C source code files to properly indent the preprocessor directives to reflect their nesting. It also performs other standardizations, such as correcting the number of spaces between directives and the text following them.

This package provides a set of fonts. This is useful when you want to avoid system fonts to make sure your outputs are reproducible.

This package lets you rarefy data, calculate diversity and plot the results.

This r-rbenchmark package is inspired by the Perl module Benchmark, and is intended to facilitate benchmarking of arbitrary R code. The library consists of just one function, benchmark, which is a simple wrapper around system.time. Given a specification of the benchmarking process (counts of replications, evaluation environment) and an arbitrary number of expressions, benchmark evaluates each of the expressions in the specified environment, replicating the evaluation as many times as specified, and returning the results conveniently wrapped into a data frame.

This package provides tools for the analysis of complex survey samples. The provided features include: summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples; variances by Taylor series linearisation or replicate weights; post-stratification, calibration, and raking; two-phase subsampling designs; graphics; PPS sampling without replacement; principal components, and factor analysis.

This package provides tools to compute marginal effects from statistical models and return the result as tidy data frames. These data frames are ready to use with the ggplot2 package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggeffect(). There is a generic plot() method to plot the results using ggplot2.

This package provides an R interface to the JAGS MCMC library. JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation.

This package simulates the process of installing a package and then attaching it. This is a key part of the devtools package as it allows you to rapidly iterate while developing a package.

This package provides functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution.

This package provides users not only with a function to readily calculate the higher-order partial and semi-partial correlations but also with statistics and p-values of the correlation coefficients.