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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: 0.7-17
Depends: R (≥ 3.0.0), stats, graphics, methods
Published: 2024-05-14
DOI: 10.32614/CRAN.package.nsRFA
Author: Alberto Viglione [aut, cre], Francesco Laio [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 functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R' are derived from original Francesco Laio Matlab code (non published material).
NeedsCompilation: no
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 2

Downloads:

Package source: nsRFA_0.7-17.tar.gz
Windows binaries: r-devel: nsRFA_0.7-17.zip, r-release: nsRFA_0.7-17.zip, r-oldrel: nsRFA_0.7-17.zip
macOS binaries: r-release (arm64): nsRFA_0.7-17.tgz, r-oldrel (arm64): nsRFA_0.7-17.tgz, r-release (x86_64): nsRFA_0.7-17.tgz, r-oldrel (x86_64): nsRFA_0.7-17.tgz
Old sources: nsRFA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nsRFA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.