R: Generalized L-Moments Estimation for Extreme Value Distributions

# Generalized L-Moments Estimation for Extreme Value Distributions

## Documentation for package ‘GLmom’ version 1.3.1

- DESCRIPTION file
- Package NEWS

## Help Pages

bangkok | Bangkok Maximum Rainfall Data
gado.prop_11 | Comprehensive Non-stationary GEV Estimation
glme.gev | Generalized L-moments estimation for generalized extreme value distribution
glme.gev11 | Generalized L-moments estimation for non-stationary GEV11 model
glme.like | Calculate the likelihood for Generalized L-moments estimation of GEV distribution
haenam | Haenam Maximum Rainfall Data
init.glme | Initialize random starting values for GLME optimization
ma.gev | Model Averaging for GEV High Quantile Estimation
magev.ksensplot | K Sensitivity Plot for MAGEV
magev.qqplot | Q-Q Diagnostic Plot for MAGEV
magev.rlplot | Return Level Plot for MAGEV
MS_pk | Martins-Stedinger prior function
new_pf_norm | Normal preference function for shape parameter (stationary GEV)
nsgev | Non-stationary GEV Parameter Estimation
pargev.kfix | GEV parameter estimation with fixed shape parameter
PhliuAgromet | Phliu Agrometeorological Station Data
pk.beta.stnary | Beta preference function for stationary GEV
pk.norm.stnary | Normal preference function for shape parameter (stationary GEV)
quagev.NS | Quantile function for non-stationary GEV models
streamflow | Streamflow Data
Trehafod | Trehafod River Flow Data