The statistical analysis of compositional data
The statistical analysis of compositional data
Generating beta variates with nonintegral shape parameters
Communications of the ACM
Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Generating good pseudo-random numbers
Computational Statistics & Data Analysis
Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions
Computational Statistics & Data Analysis
Further properties and new applications of the nested Dirichlet distribution
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Editorial: Special issue on statistical algorithms and software in R
Computational Statistics & Data Analysis
| Hi-index | 0.03 |
A software package, rBeta2009, developed to generate beta random numbers and Dirichlet random vectors in R is presented. The package incorporates state-of-the-art algorithms so as to minimize the computer generation time. In addition, it is designed in a way that (i) the generation efficiency is robust to changes of computer architecture; (ii) memory allocation is flexible; and (iii) the exported objects can be easily integrated with other software. The usage of this package is then illustrated and evaluated in terms of various performance metrics.