Abstract
An increasing number of practitioners and applied researchers started using the R programming system in recent years for their computing and data analysis needs. As far as pseudo-random number generation is concerned, the built-in generator in R does not contain some important univariate distributions. In this article, complementary R routines that could potentially be useful for simulation and computation purposes are provided.
DOI
10.22237/jmasm/1114907220
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
