This function finds the power of various chi-square tests for continuous data
chi_power_disc(
pnull,
ralt,
param_alt,
phat = function(x) -99,
alpha = 0.05,
B = 1000,
nbins = c(50, 10),
rate = 0,
minexpcount = 5,
ChiUsePhat = TRUE
)
A numeric matrix of power values.
function to find cdf under null hypothesis
function to generate data under alternative hypothesis
vector of parameter values for distribution under alternative hypothesis
=function(x) -99, routine to estimate parameters
=0.05, the level of the hypothesis test
=1000 number of simulation runs to find power
=c(50,10), number of bins for chi square tests
=0 rate of Poisson if sample size is random, 0 if sample size is fixed
=5 minimal expected bin count required
= TRUE, should chi square use minimum chi square method?