chi_power: Power Estimation of Chi Square Tests

In MDgof: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions

Power Estimation of Chi Square Tests

Description

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

Usage

chi_power(
  pnull,
  ralt,
  param_alt,
  phat = function(x) -99,
  alpha = 0.05,
  Ranges = matrix(c(-Inf, Inf, -Inf, Inf), 2, 2),
  nbins = c(5, 5),
  rate = 0,
  minexpcount = 5,
  dnull = function(x) -99,
  Retry = TRUE,
  SuppressMessages = TRUE,
  B = 1000
)

Arguments

pnull	distribution 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
phat	=function(x) -99, function to estimate parameters
alpha	=0.05, the level of the hypothesis test
Ranges	=matrix(c(-Inf, Inf, -Inf, Inf),2,2), a 2x2 matrix with lower and upper bounds, if any
nbins	=c(5, 5), 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
dnull	=function(x) -99, density function to find probabilities under null hypothesis, mostly used for discrete data, or -99 if missing.
Retry	=TRUE, retry if test fails?
SuppressMessages	=TRUE, should info be shown?
B	=1000 number of simulation runs to find power

Value

A numeric matrix of power values.

MDgof documentation built on Feb. 13, 2026, 1:06 a.m.