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MCMC4Extremes (version 1.1)

Posterior Distribution of Extreme Value Models in R

Description

Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions. It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.

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Version

Install

install.packages('MCMC4Extremes')

Monthly Downloads

163

Version

1.1

License

GPL-2

Maintainer

Fernando Ferraz do Nascimento

Last Published

July 14th, 2016

Functions in MCMC4Extremes (1.1)

gpdp

Posterior Distribution with Parameters of GPD
gevp

Posterior Distribution with Parameters of GEV
dggev

Dual Gamma Generalized Extreme Value Distribution
fajardo

15-day maxima river food at Fajardo River
barcelos

30-day maxima rainfall at Barcelos Station
ibovespa

Daily returns of ibovespa
ggevp

Posterior Distribution with Parameters of Dual Gamma Generalized Extreme Value Distribution
gammap

Posterior Distribution with Gamma Density
gurgueia

Daily river quota of Gurgueia River.
gumbelp

Posterior Distribution with GEV, where xi=0
plot.ggevp

Plot Fitted for the Dual Gamma Generalized Extreme Value Distribution (GGEV) Model
plot.gevp

Plot Fitted GEV Model
plot.gpdp

Plot Fitted GPD Model
normalp

Posterior Distribution with Normal Density
plot.gumbelp

Plot Fitted Gumbel Model
summary.gumbelp

Summarizing Posterior Distribution with Parameters of Gumbel
summary.gpdp

Summarizing Posterior Distribution with Parameters of GPD
plot.normalp

Plot Fitted Normal Model
summary.gevp

Summarizing Posterior Distribution with Parameters of GEV
summary.ggevp

Summarizing Posterior Distribution with Parameters of GGEV