Goodness-of-Fit Simulation

Simulate p-values from a goodness-of-fit test.

gof(object, nsim = 10, test = c("ks", "ad", "cvm"), ...)

# S3 method for default
gof(object, nsim = 10, test = c("ks", "ad", "cvm"), ...)

# S3 method for gof
plot(x, ...)

Arguments

object	An object of class clm, glm, lrm, orm, polr, or vglm.
nsim	Integer specifying the number of bootstrap replicates to use.
test	Character string specifying which goodness-of-fit test to use. Current options include: "ks" for the Kolmogorov-Smirnov test, "ad" for the Anderson-Darling test, and "cvm" for the Cramer-Von Mises test. Default is "ks".
...	Additional optional arguments. (Currently ignored.)
x	An object of class "gof".

Value

A numeric vector of class "gof", "numeric" containing the simulated p-values.

Details

Under the null hypothesis, the distribution of the p-values should appear uniformly distributed on the interval [0, 1]. This can be visually investigated using the plot method. A 45 degree line is indicative of a "good" fit.

Examples

# See ?resids for an example
?resids
#> Using development documentation for resids