Maximized Monte Carlo

An implementation of the Monte Carlo techniques described in details by Dufour (2006) and Dufour and Khalaf (2007) . 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.


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install.packages("MaxMC")

0.1.1 by Julien Neves, 9 months ago


https://github.com/julienneves/MaxMC


Browse source code at https://github.com/cran/MaxMC


Authors: Julien Neves [aut, cre] , Jean-Marie Dufour [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports GenSA, pso, GA, NMOF, scales, stats, graphics, utils

Suggests fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown


See at CRAN