Optimise distribution parameters
Estimates the parameters of the generalised extreme value or generalised logistic distribution from known return period estimates
OptimPars(x, dist = "GenLog")
x |
a data.frame with RPs in the first column and associated estimates in the second column |
dist |
a choice of distribution for the estimates. The choices are "GenLog" or "GEV" the generalised logistic and the generalised extreme value distribution, respectively. The default is "GenLog" |
Given a dataframe with return periods (RPs) in the first column and associated estimates in the second column, this function provides an estimate of the distribution parameters. Ideally the first RP should be 2. Extrapolation outside the RPs used for calibration comes with greater uncertainty.
The location, scale and shape parameters for the generalised logistic or Generalised extreme value distribution.
Anthony Hammond
#Get some catchment descriptors and some quick results. Then estmate the GenLog parameters Results <- QuickResults(GetCDs(96001))[[1]] OptimPars(Results[,1:2])
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