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) .


Reference manual

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1.9 by Phil Chalmers, 2 months ago,

Browse source code at

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

Documentation:   PDF Manual  

GPL (>= 2) license

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

Suggests knitr, dplyr, ggplot2, shiny, doMPI, copula, extraDistr

Suggested by mirtCAT.

See at CRAN