appraise(model, method = c("direct", "simulate", "normal"),
n_uniform = 10, n_simulate = 50, type = c("deviance", "pearson",
"response"), n_bins = c("sturges", "scott", "fd"), ncol = 2,
level = 0.9, alpha = 0.2, ...)

## Arguments

model |
a fitted model. Currently only class `"gam"` . |

method |
character; method used to generate theoretical quantiles. |

n_uniform |
numeric; number of times to randomize uniform quantiles
in the direct computation method (`method = "direct"` ) for QQ plots. |

n_simulate |
numeric; number of data sets to simulate from the estimated
model when using the simulation method (`method = "simulate"` ) for QQ
plots. |

type |
character; type of residuals to use. Only `"deviance"` ,
`"response"` , and `"pearson"` residuals are allowed. |

n_bins |
character or numeric; either the number of bins or a string
indicating how to calculate the number of bins. |

ncol |
numeric; number of columns to draw plots in. See
`cowplot::plot_grid()` . |

level |
numeric; the coverage level for QQ plot reference intervals.
Must be strictly `0 < level < 1` . Only used with `method = "simulate"` . |

alpha |
numeric; the level of alpha transparency for the QQ plot
reference interval when `method = "simulate"` . |

... |
arguments passed to `cowplot::plot_grid()` , except for `align`
and `axis` , which are set internally. |

## See also

## Examples

#> Loading required package: nlme

#> This is mgcv 1.8-27. For overview type 'help("mgcv-package")'.

#> Gu & Wahba 4 term additive model