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:	0.1.1
Imports:	GenSA, pso, GA, NMOF, scales, stats, graphics, utils
Suggests:	fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown
Published:	2019-03-24
Author:	Julien Neves [aut, cre], Jean-Marie Dufour [aut]
Maintainer:	Julien Neves <jmn252 at cornell.edu>
License:	GPL (≥ 3)
URL:	https://github.com/julienneves/MaxMC
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	MaxMC results

Documentation:

Reference manual:

MaxMC.pdf

Downloads:

Package source:	MaxMC_0.1.1.tar.gz
Windows binaries:	r-devel: MaxMC_0.1.1.zip, r-release: MaxMC_0.1.1.zip, r-oldrel: MaxMC_0.1.1.zip
macOS binaries:	r-release (arm64): MaxMC_0.1.1.tgz, r-oldrel (arm64): MaxMC_0.1.1.tgz, r-release (x86_64): MaxMC_0.1.1.tgz, r-oldrel (x86_64): MaxMC_0.1.1.tgz

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