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MCMC4Extremes
View on CRAN: Click
here
Download and install MCMC4Extremes package within the R console
Install from CRAN:
install.packages("MCMC4Extremes")
Install from Github:
library("remotes")
install_github("cran/MCMC4Extremes") Install by package version:
library("remotes")
install_version("MCMC4Extremes", "1.1") Attach the package and use:
library("MCMC4Extremes")
Maintained by
Fernando Ferraz do Nascimento
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-02
Latest Update: 2016-07-14
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.
How to cite:
Fernando Ferraz do Nascimento (2015). MCMC4Extremes: Posterior Distribution of Extreme Value Models in R. R package version 1.1, https://cran.r-project.org/web/packages/MCMC4Extremes. Accessed 22 Sep. 2026.
Previous versions and publish date:
1.0 (2015-04-02 00:04), (2026-07-09 08:08)
Other packages that cited MCMC4Extremes R package
View MCMC4Extremes citation profile
Other R packages that MCMC4Extremes depends,
imports, suggests or enhances
Complete documentation for MCMC4Extremes
Functions, R codes and Examples using
the MCMC4Extremes R package
Some associated functions: barcelos . dggev . fajardo . gammap . gevp . ggevp . gpdp . gumbelp . gurgueia . ibovespa . normalp . plot.gevp . plot.ggevp . plot.gpdp . plot.gumbelp . plot.normalp . summary.gevp . summary.ggevp . summary.gpdp . summary.gumbelp .
Some associated R codes: dggev.R . gammap.R . gevp.R . ggevp.R . gpdp.R . gumbelp.R . normalp.R . pggev.R . plot.gevp.R . plot.ggevp.R . plot.gpdp.R . plot.gumbelp.R . plot.normalp.R . qggev.R . rggev.R . summary.gevp.R . summary.ggevp.R . summary.gpdp.R . summary.gumbelp.R . Full MCMC4Extremes package functions and examples
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