https://github.com/cran/RcppDist
Tip revision: 284f8657fb9540fadcc77f069db6a626bebf89b0 authored by JB Duck-Mayr on 28 October 2018, 21:50:09 UTC
version 0.1.1
version 0.1.1
Tip revision: 284f865
README.md
# RcppDist
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The [Rcpp package](https://github.com/RcppCore/Rcpp) 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 C++ library with functions for additional statistical distributions that can be called from C++ when writing code using Rcpp or [RcppArmadillo](https://github.com/RcppCore/RcppArmadillo). Functions are available that return NumericVectors as well as doubles, and for multivariate or matrix distributions, Armadillo vectors and matrices.
RcppDist will provide 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 triangular distribution
- The multivariate normal distribution*
- The multivariate t distribution*
- The Wishart distribution*
- The inverse Wishart distribution*
Distributions marked with an asterisk rely on RcppArmadillo; if a user would prefer to use Rcpp but *not* RcppArmadillo (i.e. include the Rcpp headers but not the RcppArmadillo headers), include the line
#define RCPPDIST_DONT_USE_ARMA
before including `RcppDist.h`, though this will make the asterisked distributions unavailable.
The distributions above were selected for inclusion because I already had occasion to generate C++ code for use with Rcpp (or RcppArmadillo) for these distributions, but I am open to requests to expand the package to include additional distributions -- just open an issue with the requested feature.
### License
GPL (>= 2)