nsRFA: Non-Supervised Regional Frequency Analysis

A collection of statistical tools for objective (non-supervised) applications of the Regional Frequency Analysis methods in hydrology. The package refers to the index-value method and, more precisely, helps the hydrologist to: (1) regionalize the index-value; (2) form homogeneous regions with similar growth curves; (3) fit distribution functions to the empirical regional growth curves. Most of the methods are those described in the Flood Estimation Handbook (Centre for Ecology & Hydrology, 1999, ISBN:9781906698003). Homogeneity tests from Hosking and Wallis (1993) <doi:10.1029/92WR01980> and Viglione et al. (2007) <doi:10.1029/2006WR005095> are available.

Version:	0.7-15
Depends:	R (≥ 3.0.0), stats, graphics
Published:	2020-02-26
Author:	Alberto Viglione [aut, cre], Jonathan R. M. Hosking [ctb], Francesco Laio [ctb], Alan Miller [ctb], Eric Gaume [ctb], Olivier Payrastre [ctb], Jose Luis Salinas [ctb], Chi Cong N'guyen [ctb], Karine Halbert [ctb]
Maintainer:	Alberto Viglione <alberto.viglione at polito.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright:	The fortran routines for the function HW.original are from Jonathan R. M. Hosking and are available at the url http://www.research.ibm.com/people/h/hosking/lmoments.html. The functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R' are derived from original Francesco Laio Matlab code (non published material). The fortran routines for the function 'bestlm' are from Alan Miller and were obtained from his R package 'leaps'.
NeedsCompilation:	yes
In views:	Environmetrics, Hydrology
CRAN checks:	nsRFA results

Documentation:

Reference manual:	nsRFA.pdf
Vignettes:	Local and regional analyses with BayesianMCMC Figures 11 and 12 in Griffis and Stedinger (2007) Figure 1 in Elamir and Seheult (2004) Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function How to use the package nsRFA: example 1 How to use the package nsRFA: example 2

Downloads:

Package source:	nsRFA_0.7-15.tar.gz
Windows binaries:	r-devel: nsRFA_0.7-15.zip, r-release: nsRFA_0.7-15.zip, r-oldrel: nsRFA_0.7-15.zip
macOS binaries:	r-release (arm64): nsRFA_0.7-15.tgz, r-oldrel (arm64): nsRFA_0.7-15.tgz, r-release (x86_64): nsRFA_0.7-15.tgz, r-oldrel (x86_64): nsRFA_0.7-15.tgz
Old sources:	nsRFA archive

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