RcppDist: 'Rcpp' Integration of Additional Probability Distributions

The 'Rcpp' package provides a C++ library to make it easier to use C++ with R. R and 'Rcpp' provide functions for a variety of statistical distributions. Several R packages make functions available to R for additional statistical distributions. However, to access these functions from C++ code, a costly call to the R functions must be made. 'RcppDist' provides a header-only C++ library with functions for additional statistical distributions that can be called from C++ when writing code using 'Rcpp' or 'RcppArmadillo'. Functions are available that return a 'NumericVector' as well as doubles, and for multivariate or matrix distributions, 'Armadillo' vectors and matrices. 'RcppDist' provides functions for the following distributions: the four parameter beta distribution; the location- scale t distribution; the truncated normal distribution; the truncated t distribution; a truncated location-scale t distribution; the triangle distribution; the multivariate normal distribution*; the multivariate t distribution*; the Wishart distribution*; and the inverse Wishart distribution*. Distributions marked with an asterisk rely on 'RcppArmadillo'.

Version: 0.1.1
Depends: R (≥ 3.0.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
Published: 2018-10-28
Author: JB Duck-Mayr ORCID iD [aut, cre]
Maintainer: JB Duck-Mayr <j.duckmayr at gmail.com>
BugReports: https://github.com/duckmayr/RcppDist/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL: https://github.com/duckmayr/RcppDist
NeedsCompilation: yes
Materials: README
CRAN checks: RcppDist results


Reference manual: RcppDist.pdf
Vignettes: RcppDist Introduction
Package source: RcppDist_0.1.1.tar.gz
Windows binaries: r-devel: RcppDist_0.1.1.zip, r-release: RcppDist_0.1.1.zip, r-oldrel: RcppDist_0.1.1.zip
macOS binaries: r-release: RcppDist_0.1.1.tgz, r-oldrel: RcppDist_0.1.1.tgz

Reverse dependencies:

Reverse linking to: bayescopulareg, BGGM, bggum, maotai, MLModelSelection, Rdimtools


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