Package: nsRFA 0.7-17
Alberto Viglione
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.
Authors:
nsRFA_0.7-17.tar.gz
nsRFA_0.7-17.tar.gz(r-4.5-noble)nsRFA_0.7-17.tar.gz(r-4.4-noble)
nsRFA_0.7-17.tgz(r-4.4-emscripten)nsRFA_0.7-17.tgz(r-4.3-emscripten)
nsRFA.pdf |nsRFA.html✨
nsRFA/json (API)
| # Install 'nsRFA' in R: |
| install.packages('nsRFA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Ardeche_areas - Data-sample
- Ardeche_ungauged_extremes - Data-sample
- Beauvene_cont - Data-sample
- Chambonas_cont - Data-sample
- SaintLaurent_cont - Data-sample
- SaintMartin_cont - Data-sample
- SaintMartin_hist - Data-sample
- Vogue_cont - Data-sample
- am - Data-sample
- annualflows - Data-sample
- cd - Data-sample
- df.kgev - Data-sample
- df.polig - Data-sample
- meanmonthlyflows - Data-sample
- monthlyflows - Data-sample
- parameters - Data-sample
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:a502d61212. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:.ADC.AIC.AICc.BIC.chooseparameters0.chooseparameters0reg.datachange.Fx.lnML.lnvrais1.lnvrais1reg.lnvrais2.lnvrais2reg.lnvrais4.lnvrais4reg.lnvrais5.lnvrais5reg.logLgam.logLgev.logLgumb.parameterscandMOD.parameterscandMODreg.plotdiagnMCMC01.plotdiagnMCMC02.plotdiagnMCMC03.plotdiagnMCMC04.plotdiagnMCMC05.plotdiagnMCMC06.plotdiagnMCMCreg01.plotdiagnMCMCreg02.plotdiagnMCMCreg03.plotdiagnMCMCreg04.plotdiagnMCMCreg05.plotdiagnMCMCreg06.points1.points1reg.pointspos3.pointspos3reg.quantilesMOD.quantilesMODreg.sample_generator.test.GOFmontecarlo.thresML.thresMLreg.typeIerrorA2_GOFlaioA2A2_GOFlaioAD.distADbootstrap.testBayesianMCMCBayesianMCMCcontBayesianMCMCregBayesianMCMCregcontconsistencyplotcriticalDCVdiscordancyDK.testexpplotexppointsf.expF.expf.gammaF.gammaf.genlogisF.genlogisf.genparF.genparf.GEVF.GEVf.gumbF.gumbf.kappaF.kappaf.lognormF.lognormfrechetplotfw2gammaplotgammapointsgofEXPtestgofGENLOGIStestgofGENPARtestgofGEVtestgofGUMBELtestgofLOGNORMtestgofNORMtestgofP3testgumbelplotgumbelpointsHW.testsinvF.expinvF.gammainvF.genlogisinvF.genparinvF.GEVinvF.gumbinvF.kappainvF.lognormjackknife1.lmksampleA2kurtLCALCVLkurLmom.expLmom.gammaLmom.genlogisLmom.genparLmom.GEVLmom.gumbLmom.kappaLmom.lognormLmoment.ratio.diagramLmomentslogisplotlogispointsloglogplotloglogpointslognormplotLspace.HWvsADLspace.limitsMAEMAE.lmMAEjk.lmMAEPmantel.lmML_estimationmom2par.gammamoment_estimationmomentsMSClaio2008nearestnonparbootnormplotnormpointspar.exppar.gammapar.genlogispar.genparpar.GEVpar.gumbpar.kappapar.lognormpar2mom.gammaparetoplotplot.BayesianMCMCplot.BayesianMCMCregplot.MSClaio2008plotBayesianMCMCreg_surfplotposplotposRPplotposRPhistpointspospointsposRPpointsposRPhistpredinterval.lmprint.BayesianMCMCprint.BayesianMCMCregprint.MSClaio2008prt.lmR2R2.lmrand.exprand.gammarand.genlogisrand.genparrand.GEVrand.gumbrand.kapparand.lognormregionalexpplotregionalfrechetplotregionalgumbelplotregionalLmomentsregionallognormplotregionalnormplotregionalparetoplotregionalplotposRMSERMSE.lmRMSEjk.lmRMSEProiroi.homroi.st.yearserieplotskewstudentplotstudentpointssummary.MSClaio2008sumtraceWtraceWminimunifplotunifpointsvarLCAvarLCVvarLkurvarLmomentsvif.lmW2weibullplotweibullpoints
Dependencies:
Figure 1 in Elamir and Seheult (2004)
Rendered fromFig1ElamirSeheult.Rnwusingutils::Sweaveon Oct 31 2024.Last update: 2023-11-13
Started: 2013-12-16
Figures 11 and 12 in Griffis and Stedinger (2007)
Rendered fromFig11GriffisStedinger.Rnwusingutils::Sweaveon Oct 31 2024.Last update: 2023-11-13
Started: 2013-12-16
How to use the package nsRFA: example 2
Rendered fromnsRFA_ex02.Rnwusingutils::Sweaveon Oct 31 2024.Last update: 2023-11-13
Started: 2013-12-16
Local and regional analyses with BayesianMCMC
Rendered fromBayesianMCMC_reg.Rnwusingutils::Sweaveon Oct 31 2024.Last update: 2023-11-13
Started: 2014-08-30
Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function
Rendered fromMSClaio2008.Rnwusingutils::Sweaveon Oct 31 2024.Last update: 2023-11-13
Started: 2013-12-16
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Non-supervised Regional Frequency Analysis | nsRFA-package nsRFA |
| Anderson-Darling distance matrix for growth curves | AD.dist |
| Data-sample | Ardechedata Ardeche_areas Ardeche_ungauged_extremes Beauvene_cont Chambonas_cont SaintLaurent_cont SaintMartin_cont SaintMartin_hist Vogue_cont |
| Bayesian MCMC frequency analysis | .chooseparameters0 .chooseparameters0reg .datachange .lnvrais1 .lnvrais1reg .lnvrais2 .lnvrais2reg .lnvrais4 .lnvrais4reg .lnvrais5 .lnvrais5reg .parameterscandMOD .parameterscandMODreg .plotdiagnMCMC01 .plotdiagnMCMC02 .plotdiagnMCMC03 .plotdiagnMCMC04 .plotdiagnMCMC05 .plotdiagnMCMC06 .plotdiagnMCMCreg01 .plotdiagnMCMCreg02 .plotdiagnMCMCreg03 .plotdiagnMCMCreg04 .plotdiagnMCMCreg05 .plotdiagnMCMCreg06 .points1 .points1reg .pointspos3 .pointspos3reg .quantilesMOD .quantilesMODreg .thresML .thresMLreg BayesianMCMC BayesianMCMCcont BayesianMCMCreg BayesianMCMCregcont plot.BayesianMCMC plot.BayesianMCMCreg plotBayesianMCMCreg_surf print.BayesianMCMC print.BayesianMCMCreg |
| Diagnostics of models | DIAGNOSTICS MAE MAEP R2 RMSE RMSEP |
| Empirical distribution plots | DISTPLOTS expplot exppoints frechetplot gammaplot gammapoints gumbelplot gumbelpoints logisplot logispoints loglogplot loglogpoints lognormplot normplot normpoints paretoplot plotpos plotposRP plotposRPhist pointspos pointsposRP pointsposRPhist regionalexpplot regionalfrechetplot regionalgumbelplot regionallognormplot regionalnormplot regionalparetoplot regionalplotpos studentplot studentpoints unifplot unifpoints weibullplot weibullpoints |
| Two parameter exponential distribution and L-moments | EXP F.exp f.exp invF.exp Lmom.exp par.exp rand.exp |
| Data-sample | am cd FEH1000 |
| Data-sample | df.kgev df.polig |
| Three parameter generalized logistic distribution and L-moments | F.genlogis f.genlogis GENLOGIS invF.genlogis Lmom.genlogis par.genlogis rand.genlogis |
| Three parameter generalized Pareto distribution and L-moments | F.genpar f.genpar GENPAR invF.genpar Lmom.genpar par.genpar rand.genpar |
| Three parameter generalized extreme value distribution and L-moments | F.GEV f.GEV GEV invF.GEV Lmom.GEV par.GEV rand.GEV |
| Goodness of fit tests | .typeIerrorA2_GOFlaio A2 A2_GOFlaio fw2 GOFlaio2004 W2 |
| Goodness of fit tests | .test.GOFmontecarlo gofEXPtest gofGENLOGIStest gofGENPARtest gofGEVtest gofGUMBELtest gofLOGNORMtest GOFmontecarlo gofNORMtest gofP3test |
| Two parameter Gumbel distribution and L-moments | F.gumb f.gumb GUMBEL invF.gumb Lmom.gumb par.gumb rand.gumb |
| Homogeneity tests | ADbootstrap.test criticalD discordancy DK.test HOMTESTS HW.tests |
| Data-sample | annualflows hydroSIMN meanmonthlyflows monthlyflows parameters |
| Four parameter kappa distribution and L-moments | F.kappa f.kappa invF.kappa KAPPA Lmom.kappa par.kappa rand.kappa |
| Hosking and Wallis sample L-moments | LCA LCV Lkur Lmoments regionalLmoments |
| Three parameter lognormal distribution and L-moments | F.lognorm f.lognorm invF.lognorm Lmom.lognorm LOGNORM par.lognorm rand.lognorm |
| Maximum likelihood parameters estimation | .Fx .logLgam .logLgev .logLgumb .sample_generator MLlaio2004 ML_estimation moment_estimation |
| Sample moments | CV kurt moments skew |
| Model Selection Criteria | .ADC .AIC .AICc .BIC .lnML MSClaio2008 plot.MSClaio2008 print.MSClaio2008 summary.MSClaio2008 |
| Three parameters Pearson type III distribution and L-moments | F.gamma f.gamma invF.gamma Lmom.gamma mom2par.gamma P3 par.gamma par2mom.gamma rand.gamma |
| Diagnostics of regressions | jackknife1.lm MAE.lm MAEjk.lm mantel.lm predinterval.lm prt.lm R2.lm REGRDIAGNOSTICS RMSE.lm RMSEjk.lm vif.lm |
| Region of influence | roi roi.hom roi.st.year |
| Series plots | consistencyplot serieplot SERIESPLOTS |
| Static plots | Lmoment.ratio.diagram Lspace.HWvsAD Lspace.limits STATICPLOTS |
| Cluster analysis: disjoint regions | nearest sumtraceW traceWminim |
| Exact variance structure of sample L-moments | varLCA varLCV varLkur varLmoments |