Random sampling

Description

Random random sampling of input variables to build output sample.

In this case, the total cost is 100 simulations.The resulting analysis is the following:

Random sampling is wrapped from [R] random models:

Uniform(min,max) from [d|p|q|r]unif function
Normal(mean,sd) from [d|p|q|r]norm function
LogNormal(meanlog,sdlog) from [d|p|q|r]lnorm function
Beta(shape1,shape2) from [d|p|q|r]beta function
Exponential(rate) from [d|p|q|r]exp function
Pareto(location,shape) from [d|p|q|r]pareto function from VGAM package
Gamma(shape,scale) from [d|p|q|r]gamma
Gumbel(loc,scale) from [d|p|q|r]gumbel function from evd package
Logistic(location,scale) from [d|p|q|r]logis function
Cauchy(location,scale) from [d|p|q|r]cauchy function
Student(df) from [d|p|q|r]t function
F(df1,df2) from [d|p|q|r]f function
ChiSquared(df) from [d|p|q|r]chisq function
Poisson(lambda) from [d|p|q|r]pois function
Binomial(size,prob) from [d|p|q|r]binom function
NegativeBinomial(size,prob) from [d|p|q|r]nbinom function
Geometric(prob) from [d|p|q|r]geom function
Hypergeometric(m,n,k) from [d|p|q|r]hyperm function
Wilcoxon(m,n) from [d|p|q|r]wilcox function
Triangular(theta,lower,upper) from [d|p|q|r]triangle function from VGAM package
TruncatedNormal(mean,sd,lower,upper) from [d|p|q|r]tnorm function from msm package
Weibull(shape,scale) from [d|p|q|r]weibull function
RWeibull(loc,shape,scale) from [d|p|q|r]rweibull function from evd package
Frechet(loc,shape,scale) from [d|p|q|r]frechet function from evd package
GEV(loc,shape,scale) from [d|p|q|r]gev function from evd package