Distribution Check
Tests properties of an R implementation of a distribution, i.e. of all four of its “dpqr” functions.
distCheck(fun = "norm", n = 1000, robust = TRUE, subdivisions = 100, ...)
fun |
a character string denoting the name of the distribution. |
n |
an integer specifying the number of random variates to be generated. |
robust |
logical flag, should robust estimates be used? By
default |
subdivisions |
integer specifying the numbers of subdivisions in integration. |
... |
the distributional parameters. |
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) = 7954.67Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.