nsRFA v0.7-14

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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
GENPAR Three parameter generalized Pareto distribution and L-moments
bestlm Subsets regression
functionsLaio Data-sample
DIAGNOSTICS Diagnostics of models
GUMBEL Two parameter Gumbel distribution and L-moments
SERIESPLOTS Series plots
STATICPLOTS Static plots
GOFmontecarlo Goodness of fit tests
roi Region of influence
KAPPA Four parameter kappa distribution and L-moments
varLmoments Exact variance structure of sample L-moments
HW.original Original Hosking and Wallis Fortran routine
traceWminim Cluster analysis: disjoint regions
REGRDIAGNOSTICS Diagnostics of regressions
HOMTESTS Homogeneity tests
P3 Three parameters Pearson type III distribution and L-moments
FEH1000 Data-sample
GENLOGIS Three parameter generalized logistic distribution and L-moments
BayesianMCMC Bayesian MCMC frequency analysis
AD.dist Anderson-Darling distance matrix for growth curves
MLlaio2004 Maximum likelihood parameters estimation
Ardechedata Data-sample
MSClaio2008 Model Selection Criteria
hydroSIMN Data-sample
moments Sample moments
GEV Three parameter generalized extreme value distribution and L-moments
LOGNORM Three parameter lognormal distribution and L-moments
Lmoments Hosking and Wallis sample L-moments
nsRFA-internal Internal functions
nsRFA-package Non-supervised Regional Frequency Analysis
GOFlaio2004 Goodness of fit tests
EXP Two parameter exponential distribution and L-moments
DISTPLOTS Empirical distribution plots
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 2018-06-27
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 2018-06-27 13:12:14 UTC; alviglio
Repository CRAN
Date/Publication 2018-06-27 14:03:25 UTC

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