chi_power_cont: This function finds the power of various chi-square tests for...

In Rgof: 1d Goodness of Fit Tests

This function finds the power of various chi-square tests for continuous data

Description

This function finds the power of various chi-square tests for continuous data

Usage

chi_power_cont(
  pnull,
  ralt,
  param_alt,
  qnull = NA,
  phat = function(x) -99,
  w = function(x) -99,
  alpha = 0.05,
  Range = c(-99999, 99999),
  B = 1000,
  nbins = c(50, 10),
  rate = 0,
  minexpcount = 5,
  ChiUsePhat = TRUE
)

Arguments

pnull	function to find cdf under null hypothesis
ralt	function to generate data under alternative hypothesis
param_alt	vector of parameter values for distribution under alternative hypothesis
qnull	=NA function to find quantiles under null hypothesis, if available
phat	=function(x) -99, function to estimate parameters
w	=function(x) -99, optional weight function
alpha	=0.05, the level of the hypothesis test
Range	=c(-99999, 99999) limits of possible observations, if any
B	=1000 number of simulation runs to find power
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
minexpcount	=5 minimal expected bin count required
ChiUsePhat	=TRUE, if TRUE param is estimated parameters and no minimization is used

Value

A numeric matrix of power values.

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