nsRFA v0.7-15

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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.

Functions in nsRFA

Name Description
MLlaio2004 Maximum likelihood parameters estimation
GOFlaio2004 Goodness of fit tests
MSClaio2008 Model Selection Criteria
KAPPA Four parameter kappa distribution and L-moments
SERIESPLOTS Series plots
EXP Two parameter exponential distribution and L-moments
GOFmontecarlo Goodness of fit tests
bestlm Subsets regression
REGRDIAGNOSTICS Diagnostics of regressions
functionsLaio Data-sample
HW.original Original Hosking and Wallis Fortran routine
Lmoments Hosking and Wallis sample L-moments
HOMTESTS Homogeneity tests
P3 Three parameters Pearson type III distribution and L-moments
GUMBEL Two parameter Gumbel distribution and L-moments
nsRFA-package Non-supervised Regional Frequency Analysis
nsRFA-internal Internal functions
hydroSIMN Data-sample
LOGNORM Three parameter lognormal distribution and L-moments
STATICPLOTS Static plots
varLmoments Exact variance structure of sample L-moments
moments Sample moments
roi Region of influence
traceWminim Cluster analysis: disjoint regions
BayesianMCMC Bayesian MCMC frequency analysis
GENLOGIS Three parameter generalized logistic distribution and L-moments
FEH1000 Data-sample
AD.dist Anderson-Darling distance matrix for growth curves
GENPAR Three parameter generalized Pareto distribution and L-moments
DISTPLOTS Empirical distribution plots
GEV Three parameter generalized extreme value distribution and L-moments
Ardechedata Data-sample
DIAGNOSTICS Diagnostics of models
No Results!

Vignettes of nsRFA

Name
BayesianMCMC_reg.Rnw
Fig11GriffisStedinger.Rnw
Fig1ElamirSeheult.Rnw
MSClaio2008.Rnw
nsRFA_ex01.Rnw
nsRFA_ex02.Rnw
No Results!

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Details

Date 2020-02-25
License 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
Packaged 2020-02-25 14:15:28 UTC; alviglio
Repository CRAN
Date/Publication 2020-02-26 16:50:02 UTC

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