gof_test_cont_adj: This function performs a number of gof tests for continuous...

In Rgof: 1d Goodness of Fit Tests

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")
)

Arguments

x	data set
pnull	cdf under the null hypothesis
rnull	routine to generate data under the null hypothesis
w	(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

Value

None

Rgof documentation built on Oct. 21, 2024, 5:07 p.m.