Description Usage Arguments Details Value Author(s) References

Computes confidence intervals for GEV and MEV distributions using a parametric bootstrap method.

1 2 |

`x` |
data.frame with either columns "W", "C", "n" for the MEV distribution, or "loc","scale","shape" for the GEV distribution (see details). |

`alpha` |
Number between zero and one giving the 1 - alpha confidence level. |

`return.periods` |
Numeric vector giving the desired return periods. |

`dist` |
Character string naming which EVD to calculate confidence intervals from. |

`method` |
character naming which method for obtaining confidence intervals should be used. Option "boot" employs a parametric bootstrap that simulates data from the fitted model, and then fits the EVD to each simulated data set to obtain a sample of parameters or return levels. Currently only "boot" is available. |

`R` |
the number of bootstrap iterations. |

`verbose` |
Should additional information be printed during rundtime? Can be |

`x`

must be a data.frame, whose content depends on the distribution `dist`

:

`MEV`

: If `dist='MEV'`

, then the data.frame `x`

must contain columns "W", "C", "n". They represent shape and scale parameter of the MEV, and mean number of wet days.

`GEV`

: If `dist='GEV'`

, columns "loc","scale","shape" must be location, scale and shape parameter of the GEV .

Either a numeric vector of length 3 (if only one return level is used) or a matrix.

Harald Schellander

Schellander, H., Lieb, A. and Hell, T. (2019) 'Error Structure of Metastatistical and Generalized Extreme Value Distributions for Modeling Extreme Rainfall in Austria', Earth and Space Science, 6, pp. 1616-1632. doi: 10.1029/2019ea000557.

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