Non-Supervised Regional Frequency Analysis
Four parameter kappa distribution and L-moments
Region of influence
Anderson-Darling distance matrix for growth curves
Bayesian MCMC frequency analysis
Diagnostics of models
Empirical distribution plots
Two parameter exponential distribution and L-moments
Three parameter generalized logistic distribution and L-moments
Three parameter generalized Pareto distribution and L-moments
Three parameter generalized extreme value distribution and L-moments
Goodness of fit tests
Goodness of fit tests
Two parameter Gumbel distribution and L-moments
Homogeneity tests
Hosking and Wallis sample L-moments
Three parameter lognormal distribution and L-moments
Maximum likelihood parameters estimation
Sample moments
Model Selection Criteria
Internal functions
Non-supervised Regional Frequency Analysis
Three parameters Pearson type III distribution and L-moments
Diagnostics of regressions
Series plots
Static plots
Cluster analysis: disjoint regions
Exact variance structure of sample L-moments
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.