Non-Supervised Regional Frequency Analysis
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Documentation for package ‘nsRFA’ version 0.7-16
- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
Help Pages
A B C D E F G H I J K L M N P R S T U V W misc
| nsRFA-package | Non-supervised Regional Frequency Analysis |
-- A --
| A2 | Goodness of fit tests |
| A2_GOFlaio | Goodness of fit tests |
| AD.dist | Anderson-Darling distance matrix for growth curves |
| ADbootstrap.test | Homogeneity tests |
| am | Data-sample |
| annualflows | Data-sample |
| Ardechedata | Data-sample |
| Ardeche_areas | Data-sample |
| Ardeche_ungauged_extremes | Data-sample |
-- B --
| BayesianMCMC | Bayesian MCMC frequency analysis |
| BayesianMCMCcont | Bayesian MCMC frequency analysis |
| BayesianMCMCreg | Bayesian MCMC frequency analysis |
| BayesianMCMCregcont | Bayesian MCMC frequency analysis |
| Beauvene_cont | Data-sample |
| bestlm | Subsets regression |
-- C --
| cd | Data-sample |
| Chambonas_cont | Data-sample |
| consistencyplot | Series plots |
| criticalD | Homogeneity tests |
| CV | Sample moments |
-- D --
| df.kgev | Data-sample |
| df.polig | Data-sample |
| DIAGNOSTICS | Diagnostics of models |
| discordancy | Homogeneity tests |
| DISTPLOTS | Empirical distribution plots |
| DK.test | Homogeneity tests |
-- E --
| EXP | Two parameter exponential distribution and L-moments |
| expplot | Empirical distribution plots |
| exppoints | Empirical distribution plots |
-- F --
| F.exp | Two parameter exponential distribution and L-moments |
| f.exp | Two parameter exponential distribution and L-moments |
| F.gamma | Three parameters Pearson type III distribution and L-moments |
| f.gamma | Three parameters Pearson type III distribution and L-moments |
| F.genlogis | Three parameter generalized logistic distribution and L-moments |
| f.genlogis | Three parameter generalized logistic distribution and L-moments |
| F.genpar | Three parameter generalized Pareto distribution and L-moments |
| f.genpar | Three parameter generalized Pareto distribution and L-moments |
| F.GEV | Three parameter generalized extreme value distribution and L-moments |
| f.GEV | Three parameter generalized extreme value distribution and L-moments |
| F.gumb | Two parameter Gumbel distribution and L-moments |
| f.gumb | Two parameter Gumbel distribution and L-moments |
| F.kappa | Four parameter kappa distribution and L-moments |
| f.kappa | Four parameter kappa distribution and L-moments |
| F.lognorm | Three parameter lognormal distribution and L-moments |
| f.lognorm | Three parameter lognormal distribution and L-moments |
| FEH1000 | Data-sample |
| frechetplot | Empirical distribution plots |
| fw2 | Goodness of fit tests |
-- G --
| gammaplot | Empirical distribution plots |
| gammapoints | Empirical distribution plots |
| GENLOGIS | Three parameter generalized logistic distribution and L-moments |
| GENPAR | Three parameter generalized Pareto distribution and L-moments |
| GEV | Three parameter generalized extreme value distribution and L-moments |
| gofEXPtest | Goodness of fit tests |
| gofGENLOGIStest | Goodness of fit tests |
| gofGENPARtest | Goodness of fit tests |
| gofGEVtest | Goodness of fit tests |
| gofGUMBELtest | Goodness of fit tests |
| GOFlaio2004 | Goodness of fit tests |
| gofLOGNORMtest | Goodness of fit tests |
| GOFmontecarlo | Goodness of fit tests |
| gofNORMtest | Goodness of fit tests |
| gofP3test | Goodness of fit tests |
| GUMBEL | Two parameter Gumbel distribution and L-moments |
| gumbelplot | Empirical distribution plots |
| gumbelpoints | Empirical distribution plots |
-- H --
| HOMTESTS | Homogeneity tests |
| HW.original | Original Hosking and Wallis Fortran routine |
| HW.tests | Homogeneity tests |
| hydroSIMN | Data-sample |
-- I --
| invF.exp | Two parameter exponential distribution and L-moments |
| invF.gamma | Three parameters Pearson type III distribution and L-moments |
| invF.genlogis | Three parameter generalized logistic distribution and L-moments |
| invF.genpar | Three parameter generalized Pareto distribution and L-moments |
| invF.GEV | Three parameter generalized extreme value distribution and L-moments |
| invF.gumb | Two parameter Gumbel distribution and L-moments |
| invF.kappa | Four parameter kappa distribution and L-moments |
| invF.lognorm | Three parameter lognormal distribution and L-moments |
-- J --
| jackknife1.lm | Diagnostics of regressions |
-- K --
| KAPPA | Four parameter kappa distribution and L-moments |
| kurt | Sample moments |
-- L --
| LCA | Hosking and Wallis sample L-moments |
| LCV | Hosking and Wallis sample L-moments |
| Lkur | Hosking and Wallis sample L-moments |
| Lmom.exp | Two parameter exponential distribution and L-moments |
| Lmom.gamma | Three parameters Pearson type III distribution and L-moments |
| Lmom.genlogis | Three parameter generalized logistic distribution and L-moments |
| Lmom.genpar | Three parameter generalized Pareto distribution and L-moments |
| Lmom.GEV | Three parameter generalized extreme value distribution and L-moments |
| Lmom.gumb | Two parameter Gumbel distribution and L-moments |
| Lmom.kappa | Four parameter kappa distribution and L-moments |
| Lmom.lognorm | Three parameter lognormal distribution and L-moments |
| Lmoment.ratio.diagram | Static plots |
| Lmoments | Hosking and Wallis sample L-moments |
| LMR | Original Hosking and Wallis Fortran routine |
| logisplot | Empirical distribution plots |
| logispoints | Empirical distribution plots |
| loglogplot | Empirical distribution plots |
| loglogpoints | Empirical distribution plots |
| LOGNORM | Three parameter lognormal distribution and L-moments |
| lognormplot | Empirical distribution plots |
| Lspace.HWvsAD | Static plots |
| Lspace.limits | Static plots |
-- M --
| MAE | Diagnostics of models |
| MAE.lm | Diagnostics of regressions |
| MAEjk.lm | Diagnostics of regressions |
| MAEP | Diagnostics of models |
| mantel.lm | Diagnostics of regressions |
| meanmonthlyflows | Data-sample |
| MLlaio2004 | Maximum likelihood parameters estimation |
| ML_estimation | Maximum likelihood parameters estimation |
| mom2par.gamma | Three parameters Pearson type III distribution and L-moments |
| moments | Sample moments |
| moment_estimation | Maximum likelihood parameters estimation |
| monthlyflows | Data-sample |
| MSClaio2008 | Model Selection Criteria |
-- N --
| nearest | Cluster analysis: disjoint regions |
| normplot | Empirical distribution plots |
| normpoints | Empirical distribution plots |
| nsRFA | Non-supervised Regional Frequency Analysis |
-- P --
| P3 | Three parameters Pearson type III distribution and L-moments |
| par.exp | Two parameter exponential distribution and L-moments |
| par.gamma | Three parameters Pearson type III distribution and L-moments |
| par.genlogis | Three parameter generalized logistic distribution and L-moments |
| par.genpar | Three parameter generalized Pareto distribution and L-moments |
| par.GEV | Three parameter generalized extreme value distribution and L-moments |
| par.gumb | Two parameter Gumbel distribution and L-moments |
| par.kappa | Four parameter kappa distribution and L-moments |
| par.lognorm | Three parameter lognormal distribution and L-moments |
| par2mom.gamma | Three parameters Pearson type III distribution and L-moments |
| parameters | Data-sample |
| paretoplot | Empirical distribution plots |
| PEL | Original Hosking and Wallis Fortran routine |
| plot.BayesianMCMC | Bayesian MCMC frequency analysis |
| plot.BayesianMCMCreg | Bayesian MCMC frequency analysis |
| plot.HWorig | Original Hosking and Wallis Fortran routine |
| plot.MSClaio2008 | Model Selection Criteria |
| plotBayesianMCMCreg_surf | Bayesian MCMC frequency analysis |
| plotpos | Empirical distribution plots |
| plotposRP | Empirical distribution plots |
| plotposRPhist | Empirical distribution plots |
| pointspos | Empirical distribution plots |
| pointsposRP | Empirical distribution plots |
| pointsposRPhist | Empirical distribution plots |
| predinterval.lm | Diagnostics of regressions |
| print.BayesianMCMC | Bayesian MCMC frequency analysis |
| print.BayesianMCMCreg | Bayesian MCMC frequency analysis |
| print.bestlm | Subsets regression |
| print.HWorig | Original Hosking and Wallis Fortran routine |
| print.MSClaio2008 | Model Selection Criteria |
| prt.lm | Diagnostics of regressions |
-- R --
| R2 | Diagnostics of models |
| R2.lm | Diagnostics of regressions |
| rand.exp | Two parameter exponential distribution and L-moments |
| rand.gamma | Three parameters Pearson type III distribution and L-moments |
| rand.genlogis | Three parameter generalized logistic distribution and L-moments |
| rand.genpar | Three parameter generalized Pareto distribution and L-moments |
| rand.GEV | Three parameter generalized extreme value distribution and L-moments |
| rand.gumb | Two parameter Gumbel distribution and L-moments |
| rand.kappa | Four parameter kappa distribution and L-moments |
| rand.lognorm | Three parameter lognormal distribution and L-moments |
| regionalexpplot | Empirical distribution plots |
| regionalfrechetplot | Empirical distribution plots |
| regionalgumbelplot | Empirical distribution plots |
| regionalLmoments | Hosking and Wallis sample L-moments |
| regionallognormplot | Empirical distribution plots |
| regionalnormplot | Empirical distribution plots |
| regionalparetoplot | Empirical distribution plots |
| regionalplotpos | Empirical distribution plots |
| REGLMR | Original Hosking and Wallis Fortran routine |
| REGRDIAGNOSTICS | Diagnostics of regressions |
| REGTST | Original Hosking and Wallis Fortran routine |
| RMSE | Diagnostics of models |
| RMSE.lm | Diagnostics of regressions |
| RMSEjk.lm | Diagnostics of regressions |
| RMSEP | Diagnostics of models |
| roi | Region of influence |
| roi.hom | Region of influence |
| roi.st.year | Region of influence |
-- S --
| SaintLaurent_cont | Data-sample |
| SaintMartin_cont | Data-sample |
| SaintMartin_hist | Data-sample |
| SAMLMR | Original Hosking and Wallis Fortran routine |
| SAMLMU | Original Hosking and Wallis Fortran routine |
| SAMPWM | Original Hosking and Wallis Fortran routine |
| serieplot | Series plots |
| SERIESPLOTS | Series plots |
| skew | Sample moments |
| STATICPLOTS | Static plots |
| studentplot | Empirical distribution plots |
| studentpoints | Empirical distribution plots |
| summary.bestlm | Subsets regression |
| summary.MSClaio2008 | Model Selection Criteria |
| sumtraceW | Cluster analysis: disjoint regions |
-- T --
| traceWminim | Cluster analysis: disjoint regions |
-- U --
| unifplot | Empirical distribution plots |
| unifpoints | Empirical distribution plots |
-- V --
| varLCA | Exact variance structure of sample L-moments |
| varLCV | Exact variance structure of sample L-moments |
| varLkur | Exact variance structure of sample L-moments |
| varLmoments | Exact variance structure of sample L-moments |
| vif.lm | Diagnostics of regressions |
| Vogue_cont | Data-sample |
-- W --
| W2 | Goodness of fit tests |
| weibullplot | Empirical distribution plots |
| weibullpoints | Empirical distribution plots |
-- misc --
| .ADC | Model Selection Criteria |
| .AIC | Model Selection Criteria |
| .AICc | Model Selection Criteria |
| .BIC | Model Selection Criteria |
| .chooseparameters0 | Bayesian MCMC frequency analysis |
| .chooseparameters0reg | Bayesian MCMC frequency analysis |
| .datachange | Bayesian MCMC frequency analysis |
| .Fx | Maximum likelihood parameters estimation |
| .leaps | Subsets regression |
| .leaps.backward | Subsets regression |
| .leaps.exhaustive | Subsets regression |
| .leaps.forward | Subsets regression |
| .leaps.seqrep | Subsets regression |
| .leaps.setup | Subsets regression |
| .lnML | Model Selection Criteria |
| .lnvrais1 | Bayesian MCMC frequency analysis |
| .lnvrais1reg | Bayesian MCMC frequency analysis |
| .lnvrais2 | Bayesian MCMC frequency analysis |
| .lnvrais2reg | Bayesian MCMC frequency analysis |
| .lnvrais4 | Bayesian MCMC frequency analysis |
| .lnvrais4reg | Bayesian MCMC frequency analysis |
| .lnvrais5 | Bayesian MCMC frequency analysis |
| .lnvrais5reg | Bayesian MCMC frequency analysis |
| .logLgam | Maximum likelihood parameters estimation |
| .logLgev | Maximum likelihood parameters estimation |
| .logLgumb | Maximum likelihood parameters estimation |
| .parameterscandMOD | Bayesian MCMC frequency analysis |
| .parameterscandMODreg | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC01 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC02 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC03 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC04 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC05 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMC06 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg01 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg02 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg03 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg04 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg05 | Bayesian MCMC frequency analysis |
| .plotdiagnMCMCreg06 | Bayesian MCMC frequency analysis |
| .points1 | Bayesian MCMC frequency analysis |
| .points1reg | Bayesian MCMC frequency analysis |
| .pointspos3 | Bayesian MCMC frequency analysis |
| .pointspos3reg | Bayesian MCMC frequency analysis |
| .quantilesMOD | Bayesian MCMC frequency analysis |
| .quantilesMODreg | Bayesian MCMC frequency analysis |
| .sample_generator | Maximum likelihood parameters estimation |
| .summary.regsubsets | Subsets regression |
| .test.GOFmontecarlo | Goodness of fit tests |
| .thresML | Bayesian MCMC frequency analysis |
| .thresMLreg | Bayesian MCMC frequency analysis |
| .typeIerrorA2_GOFlaio | Goodness of fit tests |