Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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Rcpp11 — by Romain Francois, 6 years ago

R and C++11

Rcpp11 includes a header only C++11 library that facilitates integration between R and modern C++.

RUVIIIC — by Rohan Shah, 5 years ago

RUV-III-C

Variations of Remove Unwanted Variation-III (RUV-III) known as RUV-III-C (RUV-III Complete). RUV-III performs normalisation using negative control variables and replication. RUV-III-C extends this method to cases where the data contains missing values, by applying RUV-III to complete subsets of the data. Originally designed for SWATH-MS proteomics datasets. Poulos et al. (2020) .

cinterpolate — by Rich FitzJohn, 2 years ago

Interpolation From C

Simple interpolation methods designed to be used from C code. Supports constant, linear and spline interpolation. An R wrapper is included but this package is primarily designed to be used from C code using 'LinkingTo'. The spline calculations are classical cubic interpolation, e.g., Forsythe, Malcolm and Moler (1977) .

rspdlite — by Dirk Eddelbuettel, 2 months ago

R and C++ Interfaces to 'spdlite' C++ Header Library for Logging

The lightweight header-only C++-20 logging library 'spdlite', a lighter version of 'spdlog' and also written by Gabi Melman, provides most of the features of the larger version, and also includes 'fmt' as a fallback if std::format() is not selected.

MCMCpack — by Jong Hee Park, 2 years ago

Markov Chain Monte Carlo (MCMC) Package

Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return 'coda' mcmc objects that can then be summarized using the 'coda' package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

later — by Charlie Gao, 5 months ago

Utilities for Scheduling Functions to Execute Later with Event Loops

Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.

gmp — by Antoine Lucas, 6 months ago

Multiple Precision Arithmetic

Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).

sanitizers — by Dirk Eddelbuettel, 3 years ago

C/C++ Source Code to Trigger Address and Undefined Behaviour Sanitizers

Recent gcc and clang compiler versions provide functionality to test for memory violations and other undefined behaviour; this is often referred to as "Address Sanitizer" (or 'ASAN') and "Undefined Behaviour Sanitizer" ('UBSAN'). The Writing R Extension manual describes this in some detail in Section 4.3 title "Checking Memory Access". This feature has to be enabled in the corresponding binary, eg in R, which is somewhat involved as it also required a current compiler toolchain which is not yet widely available, or in the case of Windows, not available at all (via the common Rtools mechanism). As an alternative, pre-built Docker containers such as the Rocker container 'r-devel-san' or the multi-purpose container 'r-debug' can be used. This package then provides a means of testing the compiler setup as the known code failures provides in the sample code here should be detected correctly, whereas a default build of R will let the package pass. The code samples are based on the examples from the Address Sanitizer Wiki at < https://github.com/google/sanitizers/wiki>.

rapidxmlr — by David Cooley, 7 years ago

'Rapidxml' C++ Header Files

Provides XML parsing capability through the 'Rapidxml' 'C++' header-only library.

cppally — by Nick Christofides, 24 days ago

A 'C++20' API for R

A header-only 'C++20' API for manipulating R data structures from 'C++'. Provides 'C++20' concepts specific to R, custom scalar and vector classes with built-in NA handling, automatic object protection, 'SIMD' (single-instruction-multiple-data), parallelisation, and a streamlined system for registering 'C++' functions, including templates, to R. Full API reference and documentation are available at < https://nicchr.github.io/cppally/>.