maq: Flood quantile estimation by model averaging

In martindurocher/floodRFA: A R-package for regional frequency of floods

Description

Estimate the flood quantile of a given period by averaging the predictions of severals distributions. The weights are computed using either the BIC or the AIC criterion.

Usage

maq(x, distr = c("gev", "glo", "pe3", "ln3"), rt = c(2, 5, 10, 20, 50, 100),
  bic = FALSE, method = "mle")

Arguments

x	Sample
distr	List of distributions. See vec2par.
rt	Return period in years
bic	Logical. Use the BIC criterion for weight (TRUE) or the AIC (FALSE).
method	String determining the method of estimation. Either L-moments ('lmom') or Maximum likelihood ('mle').

Examples

xd <- exp(rnorm(50)+2)
maq(xd, method = 'lmom')

xd <- exp(rlogis(50)+1)
maq(xd, distr = c('gev','glo'), bic = TRUE)

martindurocher/floodRFA documentation built on June 5, 2019, 8:44 p.m.