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MCMC4Extremes

1.1

Posterior Distribution of Extreme Value Models in R

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Fernando Ferraz do NascimentoFirst published 2015-04-022 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
25%

Downloads

2.3K
CRAN downloads in the past year
Rank #21,393 · ~6/day · ~192/mo
Daily download trend is not available in this view yet.
12530 days
51390 days
2.3K1 year
Compare downloads with other packages →
Also on120 r2u11 autocran56 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (2)
R >= 3.1evir
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Authors (2)
Author, Contributor
Contributors (1)
Author, Contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1Latest
    2016-07-14 · current release · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    2015-04-02
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-04-02
Total releases
2 / 11 yrs
License
GPL-2 OSI
Minimum R
≥ 3.1
Bundled data
26 KB / 4 files
Download size
38 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MCMC4Extremes")
do Nascimento, F. F., & Moura e Silva, W. V. (2016). MCMC4Extremes: Posterior Distribution of Extreme Value Models in R (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MCMC4Extremes

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MCMC4Extremes version 1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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