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MaxMC: Maximized Monte Carlo

An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.

Version:0.1.2
Imports:GenSA,pso,GA,NMOF,scales, stats, graphics, utils
Suggests:fUnitRoots,microbenchmark,boot,MASS,knitr,rmarkdown
Published:2024-10-02
DOI:10.32614/CRAN.package.MaxMC
Author:Julien Neves [aut], Jean-Marie Dufour [aut, ths], Gabriel Rodriguez-Rondon [cre]
Maintainer:Gabriel Rodriguez-Rondon <gabriel.rodriguezrondon at mail.mcgill.ca>
License:GPL (≥ 3)
URL:https://github.com/julienneves/MaxMC
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:MaxMC results

Documentation:

Reference manual:MaxMC.html ,MaxMC.pdf

Downloads:

Package source: MaxMC_0.1.2.tar.gz
Windows binaries: r-devel:MaxMC_0.1.2.zip, r-release:MaxMC_0.1.2.zip, r-oldrel:MaxMC_0.1.2.zip
macOS binaries: r-release (arm64):MaxMC_0.1.2.tgz, r-oldrel (arm64):MaxMC_0.1.2.tgz, r-release (x86_64):MaxMC_0.1.2.tgz, r-oldrel (x86_64):MaxMC_0.1.2.tgz
Old sources: MaxMC archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MaxMCto link to this page.


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