power_cont: find power of gof tests for continuous data
In Rgof: 1d Goodness of Fit Tests

power_cont

R Documentation

find power of gof tests for continuous data

Description

find power of gof tests for continuous data

Usage

power_cont(
  pnull,
  rnull,
  qnull,
  ralt,
  param_alt,
  phat,
  TS,
  nbins = as.integer(c(100, 10)),
  rate = 0,
  Range = as.numeric(c(-99999, 99999)),
  B = as.integer(c(1000, 1000)),
  alpha = 0.05,
  minexpcount = 2
)

Arguments

`pnull`	R function (cdf)
`rnull`	R function (generate data under null hypothesis)
`qnull`	R function (quantiles under null hypothesis)
`ralt`	R function to generate data under alternative
`param_alt`	parameters of ralt
`phat`	function to estimate parameters from the data
`TS`	function to calculate test statistics
`nbins`	=c(100,10) number of bins to use
`rate`	rate of Poisson if sample size is random
`Range`	=(-99999, 99999) limits of possible observations, if any
`B`	=c(1000, 1000) Number of simulation runs for power and null distribution
`alpha`	=0.05, type I error of test
`minexpcount`	=2 minimal expected bin count required