Rgof (version 3.1.0)

gof_test_cont_adj: This function performs a number of gof tests for continuous data and finds the adjusted p value

Description

This function performs a number of gof tests for continuous data and finds the adjusted p value

Usage

gof_test_cont_adj(
  x,
  pnull,
  rnull,
  w = function(x) -99,
  phat = function(x) 0,
  TS,
  TSextra = NA,
  nbins = c(50, 10),
  rate = 0,
  Range = c(-Inf, Inf),
  B = c(5000, 1000),
  minexpcount = 5,
  ChiUsePhat = TRUE,
  doMethods = c("W", "ZC", "AD", "ES-s-P")
)

Value

None

Arguments

x

data set

pnull

cdf under the null hypothesis

rnull

routine to generate data under the null hypothesis

w

=function(x) =99 (Optional) function to calculate weights, returns -99 if no weights

phat

=function(x) -99, function to estimate parameters from the data, or -99 if no parameters aare estimated

TS

user supplied function to find test statistics, if any

TSextra

=NA, list passed to TS, if desired

nbins

=c(50, 10) number of bins for chi-square tests

rate

=0 rate of Poisson if sample size is random, 0 if sample size is fixed

Range

=c(-Inf, Inf) limits of possible observations, if any, for chi-square tests

B

=c(5000,1000) number of simulation runs for p values and for p value distribution

minexpcount

=5 minimal expected bin count required

ChiUsePhat

=TRUE, if TRUE param is estimated parameter, otherwise minimum chi square method is used.

doMethods

Methods to include in tests