RcppDist: RcppDist

In RcppDist: 'Rcpp' Integration of Additional Probability Distributions

Description

'Rcpp' Integration of Additional Probability Distributions

Details

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 also on RcppArmadillo.

For more information on using 'RcppDist' functions in your C++ code, please consult the vignette via vignette("RcppDist"); the vignette explains how to link to the package and include the headers, which header files provide which functions, and also provides all function declarations (so that you can see the function and argument names and return/argument types; the arguments are also described in reasonable detail). You can also see an example of using the multivariate normal generator provided by 'RcppDist' in the function bayeslm.

Author(s)

JB Duck-Mayr

RcppDist documentation built on May 2, 2019, 9:44 a.m.