View source: R/gof_test_disc_adj.R

gof_test_disc_adj | R Documentation |

This function performs a number of gof tests for discrete data and finds the adjusted p value

```
gof_test_disc_adj(
x,
pnull,
rnull,
vals,
phat = function(x) -99,
TS,
TSextra = NA,
nbins = c(50, 10),
rate = 0,
B = c(5000, 1000),
minexpcount = 5,
ChiUsePhat = TRUE,
doMethods = c("Wassp1", "W", "AD", "s-P")
)
```

`x` |
data set (the counts) |

`pnull` |
cumulative distribution function under the null hypothesis |

`rnull` |
routine to generate data under the null hypothesis |

`vals` |
a vector of values of discrete random variables |

`phat` |
=function(x) -99, function to estimate parameters from the data, or -99 if no parameters aare estimated |

`TS` |
=NA, user supplied function to find test statistics |

`TSextra` |
=NA, list passed to TS, if desired |

`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 |

`B` |
=c(5000, 1000) number of simulation runs for p values and for adjusted p value |

`minexpcount` |
=5 minimal expected bin count required |

`ChiUsePhat` |
= TRUE, if TRUE param is estimated parameter, otherwise minimum chi square method is used. |

`doMethods` |
Methods to include in tests |

A numeric matrix of test statistics and p.values

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