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mrgsim.parallel: Simulate with 'mrgsolve' in Parallel

Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve> model using a parallel backend. Input data sets are split (chunked) and simulated in parallel using mclapply() or future_lapply() <https://cran.r-project.org/package=future.apply>.

Version: 0.2.1
Depends: mrgsolve, R (≥ 3.5.0)
Imports: parallel, dplyr, future, future.apply, callr, fst
Suggests: testthat, arrow, qs, knitr, rmarkdown
Published: 2022-03-17
Author: Kyle Baron
Maintainer: Kyle Baron <kylebtwin at imap.cc>
BugReports: https://github.com/kylebaron/mrgsim.parallel/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/kylebaron/mrgsim.parallel
NeedsCompilation: no
Language: en-US
CRAN checks: mrgsim.parallel results

Documentation:

Reference manual: mrgsim.parallel.pdf
Vignettes: Get started

Downloads:

Package source: mrgsim.parallel_0.2.1.tar.gz
Windows binaries: r-devel: mrgsim.parallel_0.2.1.zip, r-release: mrgsim.parallel_0.2.1.zip, r-oldrel: mrgsim.parallel_0.2.1.zip
macOS binaries: r-release (arm64): mrgsim.parallel_0.2.1.tgz, r-oldrel (arm64): mrgsim.parallel_0.2.1.tgz, r-release (x86_64): mrgsim.parallel_0.2.1.tgz, r-oldrel (x86_64): mrgsim.parallel_0.2.1.tgz
Old sources: mrgsim.parallel archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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