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\name{distCheck}
\alias{distCheck}
\title{Distribution check}
\description{
Tests properties of an \R implementation of a distribution, i.e., of
all four of its \dQuote{dpqr} functions.
}
\usage{
distCheck(fun = "norm", n = 1000, robust = TRUE, subdivisions = 100, \dots)
}
\arguments{
\item{fun}{
a character string, the name of the distribution.
}
\item{n}{
an integer specifying the number of random variates to be
generated.
}
\item{robust}{
logical flag, should robust estimates be used? By default
\code{TRUE}.
}
\item{subdivisions}{
integer specifying the numbers of subdivisions in integration.
}
\item{\dots}{
the distributional parameters.
}
}
\examples{
distCheck("norm", mean = 1, sd = 1)
distCheck("lnorm", meanlog = 0.5, sdlog = 2, robust=FALSE)
## here, true E(X) = exp(mu + 1/2 sigma^2) = exp(.5 + 2) = exp(2.5) = 12.182
## and Var(X) = exp(2*mu + sigma^2)*(exp(sigma^2) - 1) = 7954.67
}
\keyword{distribution}
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