foreach, methods, parallel, plyr, dplyr, pbapply (>= 1.3-0),
stats
knitr, ggplot2, tidyr, shiny, doMPI, copula, extraDistr,
rmarkdown

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) <doi:10.1080/10691898.2016.1246953>, and for an in-depth overview of
the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
knitr, ggplot2, tidyr, shiny, doMPI, copula, extraDistr,
RPushbullet, rmarkdown

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

Provides tools to safely and efficiently organize and execute
Monte Carlo simulation experiments in R.
The package controls the structure and back-end of Monte Carlo simulation experiments
by utilizing a generate-analyse-summarise workflow. The workflow safeguards against
common simulation issues, such as automatically re-simulating non-convergent results,
prevents inadvertently overwriting of simulation files, catches error and warning messages
during execution, and implicitly supports parallel processing.
For a pedagogical introduction to the package see
Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of
the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
foreach, methods, parallel, dplyr, sessioninfo, pbapply (>=
1.3-0), RPushbullet, stats
knitr, ggplot2, tidyr, shiny, doMPI, copula, extraDistr,
renv, rmarkdown

Provides tools to safely and efficiently organize and execute
Monte Carlo simulation experiments in R.
The package controls the structure and back-end of Monte Carlo simulation experiments
by utilizing a generate-analyse-summarise workflow. The workflow safeguards against
common simulation coding issues, such as automatically re-simulating non-convergent results,
prevents inadvertently overwriting simulation files, catches error and warning messages
during execution, and implicitly supports parallel processing.
For a pedagogical introduction to the package see
Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of
the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
knitr, ggplot2, tidyr, purrr, shiny, doMPI, copula,
extraDistr, renv, rmarkdown