Find the power of various gof tests for discrete data.
gof_power_disc(
pnull,
rnull,
vals,
ralt,
param_alt,
phat = function(x) -99,
TS,
TSextra = NA,
alpha = 0.05,
B = 1000,
nbins = c(100, 10),
rate = 0,
maxProcessor,
minexpcount = 5,
ChiUsePhat = TRUE
)A numeric matrix of power values.
cumulative distribution function under the null hypothesis
a function to generate data under null hypothesis
values of discrete rv.
function to generate data under alternative hypothesis
vector of parameter values for distribution under alternative hypothesis
=function(x) -99, function to estimate parameters from the data, -99 if no parameters are estimated
user supplied function to find test statistics, if any
=NA, list passed to TS, if desired
=0.05, the level of the hypothesis test
=1000 number of simulation runs
=c(100, 10) number of bins for chi square tests
rate of Poisson if sample size is random
maximum of number of processors to use, 1 if no parallel processing is needed or number of cores-1 if missing
=5 minimal number of expected counts in each bin for chi square tests
= TRUE, if TRUE param is estimated parameter, otherwise minimum chi square method is used.