View source: R/gof_test_cont_adj.R

gof_test_cont_adj | R Documentation |

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

```
gof_test_cont_adj(
x,
pnull,
rnull,
w = function(x) -99,
phat = function(x) 0,
TS,
TSextra = NA,
nbins = c(50, 10),
rate = 0,
Range = c(-Inf, Inf),
B = c(5000, 1000),
minexpcount = 5,
ChiUsePhat = TRUE,
doMethods = c("W", "ZC", "AD", "ES-s-P")
)
```

`x` |
data set |

`pnull` |
cdf under the null hypothesis |

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

`w` |
(Optional) 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 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 |

`Range` |
=c(-Inf, Inf) limits of possible observations, if any, for chi-square tests |

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

`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 |

None

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