multgee(>= 1.2), gee, knitr, rmarkdown, bookdown

bookdown, gee, knitr, markdown, multgee(>= 1.2)

bookdown, gee, knitr, markdown, multgee (>= 1.2), testthat,
covr

bookdown, covr, gee, knitr, multgee (>= 1.2), rmarkdown,
testthat
person(given = "Anestis",
family = "Touloumis",
role = c("aut", "cre"),
email = "A.Touloumis@brighton.ac.uk",
comment = c(ORCID = "0000-0002-5965-1639")
)
Anestis Touloumis [aut, cre] (<https://orcid.org/0000-0002-5965-1639>)

Simulation of Correlated Data with Multiple Variable Types
Including Continuous and Count Mixture Distributions
BB, nleqslv, MASS, mvtnorm, Matrix, VGAM, triangle, ggplot2,
grid, stats, utils
knitr, rmarkdown, printr, bookdown, testthat

Structure for Organizing Monte Carlo Simulation Designs
person("Phil", "Chalmers", email = "rphilip.chalmers@gmail.com",
role = c("aut", "cre"))
Provides tools to help organize Monte Carlo simulations in R.
The tools provided control the structure and back-end of the Monte Carlo simulations
by utilizing a generate-analyse-summarise strategy. The functions
control common simulation issues such as re-simulating non-convergent results,
support parallel back-end computations, save and restore temporary files,
aggregate results across independent nodes, and provide native support for debugging.

Provides tools to help organize Monte Carlo simulations in R. The
tools provided control the structure and back-end of the Monte Carlo simulations
by utilizing a generate-analyse-summarise strategy. The functions control common
simulation issues such as re-simulating non-convergent results, support parallel
back-end computations, save and restore temporary files, aggregate results
across independent nodes, and provide native support for debugging.

Provides tools to help 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.