Package: UnivRNG 1.2.3

UnivRNG: Univariate Pseudo-Random Number Generation

Pseudo-random number generation of 17 univariate distributions proposed by Demirtas. (2005) <doi:10.22237/jmasm/1114907220>.

Authors:Hakan Demirtas, Rawan Allozi, Ran Gao

# Install 'UnivRNG' in R:

install.packages('UnivRNG', repos = c('https://bernice0321.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 4 years agofrom:5ca292d93a. Checks:OK: 7. Indexed: yes.

Dependencies:

Help page	Topics
Univariate Pseudo-Random Number Generation	UnivRNG-package UnivRNG
Generates variates from Beta distribution with max(alpha,beta)<1	draw.beta.alphabeta.less.than.one
Generates variates from Beta-binomial distribution	draw.beta.binomial
Generates variation from Gamma distribution with alpha>1	draw.gamma.alpha.greater.than.one
Generates variation from Gamma distribution with alpha<1	draw.gamma.alpha.less.than.one
Generates variation from inverse Gaussian distribution	draw.inverse.gaussian
Generates variates from Laplace distribution	draw.laplace
Generates variates from left truncated Gamma distribution	draw.left.truncated.gamma
Generates variates from logarithmic distribution	draw.logarithmic
Generates variates from non-central chi-squared distribution	draw.noncentral.chisquared
Generates variates from doubly non-central F distribution	draw.noncentral.F
Generates variates from doubly non-central t distribution	draw.noncentral.t
Generates variates from Pareto distribution	draw.pareto
Generates variates from Rayleigh distribution	draw.rayleigh
Generates variates from standard t distribution	draw.t
Generates variates from Von Mises distribution	draw.von.mises
Generates variates from Weibull distribution	draw.weibull
Generates variates from Zeta (Zipf) distribution	draw.zeta