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nsRFA (version 0.6-4)

Non-supervised Regional Frequency Analysis

Description

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.

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Version

Install

install.packages('nsRFA')

Monthly Downloads

330

Version

0.6-4

License

GPL (>= 2)

Maintainer

Alberto Viglione

Last Published

May 14th, 2024

Functions in nsRFA (0.6-4)

DISTPLOTS

Empirical distribution plots
AD.dist

Anderson-Darling distance matrix for growth curves
HW.original

Original Hosking and Wallis Fortran routine
FEH1000

Data-sample
GENLOGIS

Three parameter generalized logistic distribution and L-moments
GEV

Three parameter generalized extreme value distribution and L-moments
LOGNORM

Three parameter lognormal distribution and L-moments
EXP

Two parameter exponential distribution and L-moments
GENPAR

Three parameter generalized Pareto distribution and L-moments
GOFlaio2004

Goodness of fit tests
nsRFA-internal

Internal functions
hydroSIMN

Data-sample
BayesianMCMC

Bayesian MCMC frequency analysis
GOFmontecarlo

Goodness of fit tests
GUMBEL

Two parameter Gumbel distribution and L-moments
P3

Three parameters Pearson type III distribution and L-moments
nsRFA-package

Non-supervised Regional Frequency Analysis
SERIESPLOTS

Series plots
STATICPLOTS

Static plots
KAPPA

Four parameter kappa distribution and L-moments
traceWminim

Cluster analysis: disjoint regions
REGRDIAGNOSTICS

Diagnostics of regressions
functionsLaio

Data-sample
Lmoments

Hosking and Wallis sample L-moments
bestlm

Subsets regression
roi

Region of influence
MSClaio2008

Model Selection Criteria
moments

Sample moments
DIAGNOSTICS

Diagnostics of models
HOMTESTS

Homogeneity tests
MLlaio2004

Maximum likelihood parameters estimation
varLmoments

Exact variance structure of sample L-moments