Nothing
#############################################################################
## ##
## Tests for special distributions ##
## ##
#############################################################################
## --- Load test routines and test parameters -------------------------------
source("test_routines.R")
## --- Auxiliary routines ---------------------------------------------------
## use u-error of method PINV for continuous distributions
cont.max.uerror.of <- function (distr, args) {
uddist <- paste("ud",distr,"(",args,")", sep="")
aqfunct <- eval(parse(text=paste("function(u) {uq(pinvd.new(",uddist,",uresolution=1e-12),u)}", sep="")))
pfunct <- eval(parse(text=paste("function(x) {p",distr,"(x,",args,")}", sep="")))
uerr <- unur.cont.uerror(samplesize,aqfunct,pfunct)
if (uerr > 1.e-11) ## we do not want to be to stringent here
stop(paste("max u-error exceeded for '",uddist,"': ",uerr,"\n",sep=""))
}
## use x-error of method DGT for discrete distributions
discr.max.xerror.of <- function (distr, args) {
uddist <- paste("ud",distr,"(",args,",ub=10000)", sep="")
aqfunct <- eval(parse(text=paste("function(u) {uq(dgtd.new(",uddist,"),u)}", sep="")))
qfunct <- eval(parse(text=paste("function(x) {q",distr,"(x,",args,")}", sep="")))
xerr <- unur.xerror(samplesize,aqfunct,qfunct)
if (xerr > 1.e-10) ## we do not want to be to stringent here
stop(paste("max x-error exceeded for '",uddist,"': ",xerr,"\n",sep=""))
}
## just run when neither CDF or quantile function is available
cont.just.run <- function (distr, args) {
uddist <- paste("ud",distr,"(",args,")", sep="")
qfunct <- eval(parse(text=paste("function(u) { uq(pinvd.new(",uddist,",uresolution=1e-12),u) }", sep="")))
x <- qfunct(runif(samplesize))
if (! is.finite(sum(x)))
stop(paste("inverse CDF for '",uddist,"': 'Inf' or 'NaN' occured\n",sep=""))
}
discr.just.run <- function (distr, args) {
uddist <- paste("ud",distr,"(",args,",ub=10000)", sep="")
qfunct <- eval(parse(text=paste("function(u) { uq(dgtd.new(",uddist,"),u) }", sep="")))
x <- qfunct(runif(samplesize))
if (! is.finite(sum(x)))
stop(paste("inverse CDF for '",uddist,"': 'Inf' or 'NaN' occured\n",sep=""))
}
#############################################################################
## ##
## Test implementations of the ud<distr> functions. ##
## The argments must coincide with the corresponding ##
## d|p|q|r<distr> R functions. ##
## ##
#############################################################################
## -- Continuous distributions ----------------------------------------------
cont.max.uerror.of("beta","shape1=3,shape2=7")
cont.max.uerror.of("cauchy","location=1,scale=2")
cont.just.run ("chi","df=5")
cont.max.uerror.of("chisq","df=5")
cont.max.uerror.of("exp","rate=3")
cont.max.uerror.of("f","df1=5,df2=7")
cont.just.run ("frechet","shape=3,location=2,scale=5")
cont.just.run ("ghyp","lambda=1.5,alpha=3,beta=2,delta=1,mu=0")
cont.just.run ("gig","theta=3,psi=1,chi=1")
cont.just.run ("giga","theta=3,omega=2")
cont.just.run ("giga","theta=3,omega=2,eta=2")
cont.just.run ("gumbel","location=2,scale=5")
cont.just.run ("hyperbolic","alpha=3,beta=2,delta=1,mu=0")
cont.just.run ("ig","mu=3,lambda=2")
cont.just.run ("laplace","location=2,scale=5")
cont.max.uerror.of("logis","location=2,scale=5")
cont.just.run ("lomax","shape=2,scale=5")
cont.max.uerror.of("lnorm","mean=1,sd=2")
cont.just.run ("meixner","alpha=0.03,beta=0.13,delta=0.57,mu=-0.001")
cont.max.uerror.of("norm","mean=1,sd=2")
cont.just.run ("pareto","k=3,a=1")
## just.run ("planck","a=3") -- not implemented
cont.just.run ("powerexp","shape=3")
cont.just.run ("rayleigh","scale=3")
cont.just.run ("slash","")
cont.max.uerror.of("t","df=2.5")
## max.uerror.of("triang","df=2.5") -- not implemented
cont.just.run ("vg","lambda=2.25,alpha=210.,mu=0.001,beta=-5.1")
cont.just.run ("vg","lambda=200.,alpha=210.,mu=0.001,beta=-5.1")
cont.max.uerror.of("weibull","shape=3,scale=2")
## -- Discrete distributions ----------------------------------------------
discr.max.xerror.of("binom","size=1000,prob=0.3456789")
discr.max.xerror.of("geom","prob=0.3456789")
discr.max.xerror.of("hyper","m=15,n=5,k=7")
discr.just.run("logarithmic","shape=0.3")
discr.max.xerror.of("nbinom","size=100,prob=0.3456789")
discr.max.xerror.of("pois","lambda=2.34567")
## --- End ------------------------------------------------------------------
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