gof_power_cont: Find the power of various gof tests for continuous data.

Description

Find the power of various gof tests for continuous data.

Usage

gof_power_cont(
  pnull,
  rnull,
  ralt,
  param_alt,
  w = function(x) -99,
  phat = function(x) -99,
  TS,
  TSextra = NA,
  alpha = 0.05,
  Range = c(-Inf, Inf),
  B = 1000,
  nbins = c(100, 10),
  rate = 0,
  maxProcessor,
  minexpcount = 5,
  ChiUsePhat = TRUE
)

Value

A numeric matrix of power values.

Arguments

pnull: function to find cdf under null hypothesis
rnull: function to generate data under null hypothesis
ralt: function to generate data under alternative hypothesis
param_alt: vector of parameter values for distribution under alternative hypothesis
w: =function(x) -99, 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 provided to TS
alpha: =0.05, the level of the hypothesis test
Range: =c(-Inf, Inf) limits of possible observations, if any
B: =1000 number of simulation runs
nbins: =c(100,10), number of bins for chi square tests.
rate: =0 rate of Poisson if sample size is random, 0 if sample size is fixed
maxProcessor: maximum of number of processors to use, 1 if no parallel processing is needed or number of cores-1 if missing
minexpcount: =5 minimal expected bin count required
ChiUsePhat: =TRUE, if TRUE param is estimated parameter, otherwise minimum chi square method is used.