Structure for Organizing Monte Carlo Simulation Designs

Provides tools to help safely and efficiently organize Monte Carlo simulations in R. The package controls the structure and back-end of Monte Carlo simulations by utilizing a general generate-analyse-summarise strategy. The functions provided control common simulation issues such as re-simulating non-convergent results, support parallel back-end and MPI distributed computations, save and restore temporary files, aggregate results across independent nodes, and provide native support for debugging. For a pedagogical introduction to the package refer to Sigal and Chalmers (2016) , and for an in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) .


Reference manual

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2.1 by Phil Chalmers, 10 days ago,

Browse source code at

Authors: Phil Chalmers [aut, cre] , Matthew Sigal [ctb] , Ogreden Oguzhan [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports foreach, methods, parallel, plyr, dplyr, pbapply, stats

Suggests knitr, ggplot2, tidyr, shiny, doMPI, copula, extraDistr, RPushbullet, rmarkdown

Suggested by mirtCAT.

See at CRAN