simgof (version 1.0.2)

simgof.test: simgof.test

Description

This function performs a number of gof tests and rejects the null if any of the tests does so. Then it finds the adjusted p-value.

Usage

simgof.test(
  x,
  pnull,
  rnull,
  qnull = function(x) NULL,
  do.estimation = TRUE,
  estimate = function(x) NULL,
  include.methods = c(rep(TRUE, 7), rep(FALSE, 9)),
  B = 10000,
  lambda,
  nbins = NULL
)

Arguments

x

data set

pnull

distribution function under the null hypothesis

rnull

routine to generate data under the null hypothesis

qnull

quantile function under the null hypothesis

do.estimation

TRUE if parameters are to be estimated

estimate

routine for parameter estimation

include.methods

which methods should be used, a vector of length 16 of T/F

B

=10000 number of simulation runs

lambda

rate of Poisson if sample size is random

nbins

number of bins for chisquare test

Value

A numeric vector of p values

Examples

# NOT RUN {
 x <- runif(1000)
 pnull <- function(x) x 
 rnull <- function(n) runif(n) 
 qnull <- function(x) x 
 simgof.test(x, pnull, rnull, qnull, FALSE, B=500)
 x <- rnorm(1000, 100, 20)
 pnull <- function(x, param) pnorm(x, param[1], param[2])
 rnull <- function(n, param) rnorm(x, param[1], param[2])
 qnull <- function(x, param) qnorm(x, param[1], param[2])
 estimate <- function(x) c(mean(x), sd(x))
 simgof.test(x, pnull, rnull, qnull, TRUE, estimate, B=500) 
# }