predict.poolgrp: Flood quantiles estimated at the target of a pooling group
In martindurocher/floodStat: FloodNet Regional Frequency Analysis

Description Usage Arguments References Examples

Predict the flood quantile of a given return period for its target sites.

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## S3 method for class 'poolgrp'
predict(obj, q = c(0.5, 0.8, 0.9, 0.95, 0.98, 0.99),
  indx = NULL, ci = FALSE, nsim = 5000, alpha = 0.05)

`obj`	Pooling group object.
`q`	Probability associated to the flood quantiles.
`indx`	Index flood factor. By default the sample average of the target.
`ci`	Logical. Should the confident intervals and the standard deviation be evaluated?
`nsim`	Number of simulation used for approximating the confident intervals.
`alpha`	Significance level.

Hosking, J. R. M., & Wallis, J. R. (1997). Regional frequency analysis: an approach based on L-moments. Cambridge Univ Pr.

isite <- Intersite(ams ~ id + year, flowAtlantic$ams,
                   distance = flowAtlantic$distance,
                   smooth = TRUE)

fit <- PoolGroup(isite, distance = 2, nk = 30)

predict(fit, c(.3,.7))
predict(fit, ci = TRUE)