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lmomRFA (version 2.0)

lmomRFA-package: The lmomRFA package

Description

Rfunctions for regional frequency analysis using $L$-moments.

Arguments

Details

This package implements methods described in the book Regional frequency analysis: an approach based on $L$-moments by J. R. M. Hosking and J. R. Wallis. It is a supplement to the lmom package, which implements $L$-moment methods for more general statistical applications. The following functions are contained in this package. cluagg performs agglomerative hierarchical clustering. cluinf provides information about cluster membership in a hierarchical clustering. clukm performs cluster analysis via the K-means algorithm. as.regdata creates an object of class "regdata", which contains a regional data set consisting of summary statistics for different data samples, one of the main building blocks of regional frequency analysis. regsamlmu computes the sample $L$-moments of multiple data sets. regavlmom and reglmr both compute, with slightly different interfaces, a regional weighted average of sample $L$-moments from multiple sites. Function regavlmom is recommended for general use; reglmr is deprecated. regtst computes discordancy, heterogeneity and goodness-of-fit measures for regional frequency analysis. These statistics are as described in Hosking and Wallis (1997, chaps. 3-5). regfit fits a frequency distribution to a regional data set, giving a regional frequency distribution. regqfunc and siteqfunc return the regional growth curve and the quantile functions for individual sites, respectively, from a regional frequency distribution fitted by regfit. regquant and sitequant directly compute quantiles of the regional growth curve and of distributions for individual sites, respectively, from a regional frequency distribution fitted by regfit. regsimh runs Monte Carlo simulations to estimate the distribution of heterogeneity and goodness-of-fit measures for an artificial region. regsimq runs Monte Carlo simulations to estimate the variability of quantile estimates from a regional frequency distribution. regquantbounds and sitequantbounds compute error bounds for the regional growth curve and for quantiles at individual sites, respectively, from a regional frequency distribution fitted by regfit. Functions cluagg, cluinf, clukm, reglmr, and regtst are analogous to Fortran routines from the LMOMENTS package, version 3.04, available from StatLib at http://lib.stat.cmu.edu/general/lmoments. In addition, functions regsimh and regsimq provide similar functionality to PROGRAM XSIM in the LMOMENTS Fortran package.

References

Hosking, J. R. M., and Wallis, J. R. (1997). Regional frequency analysis: an approach based on $L$-moments. Cambridge University Press.