Package jsim.variate

The variate package provides numerous classes for generating random variates.

See:
Description

Class Summary

Bernoulli	Bernoulli random variate generation.
Beta	Beta random variate generation.
Binomial	Binomial random variate generation.
Cauchy	Cauchy random variate generation.
ChiSquare	Chi-Square (n degrees of freedom) random variate generation.
DiscreteProb	Discrete probability random variate generation.
Erlang	Erlang random variate generation.
Exponential	Exponential random variate generation.
F_Distribution	F-Distribution random variate generation.
Gamma	Gamma random variate generation.
GenNames	Generate a list of all variate names.
Geometric	Geometric random variate generation.
HyperExponential	Generate a hyperexponentially distributed random number mean mu and standard deviation sigma (sigma > mu) using Morse's two-stage hyperexponential distribution.
HyperGeometric	Generate a random number from the hypergeometric distribution with population m, number of drawn items n and probability of success p.
LCGRandom	Basic random number generator.
LogNormal	Log Normal random variate generation.
NegativeBinomial	Negative Binomial random variate generation.
Normal	Normal random variate generation.
Poisson	Poisson (with mean mu) random variate generation.
Randi	Random Integer (Discrete Uniform) random variate generation.
StudentT	Student t random variate generation.
Triangular	Triangular random variate generation.
Uniform	Uniform random variate generation in which variates are constructed based upon a mean and an interval half width.
Uniform2	Uniform random variate generation in which variates are constructed by specifying the lower and upper bounds.
Variate	Random number generation via an installable random number generator.
VarNames	Class listing names of all variates.
Weibull	Weibull random variate generation.

Package jsim.variate Description

The variate package provides numerous classes for generating random variates.