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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MaxMC to link to this page.
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