View source: R/chi_power_disc.R

chi_power_disc | R Documentation |

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
)
```

`pnull` |
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, routine to estimate parameters |

`alpha` |
=0.05, the level of the hypothesis test |

`B` |
=1000 number of simulation runs to find power |

`nbins` |
=c(50,10), 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 |

`ChiUsePhat` |
= TRUE, should chi square use minimum chi square method? |

A numeric matrix of power values.

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