bigsimr: Fast Generation of High-Dimensional Random Vectors

Simulate multivariate data with arbitrary marginal distributions. 'bigsimr' is an package for simulating high-dimensional multivariate data with a target correlation and arbitrary marginal distributions via Gaussian copula. It utilizes a Julia package named 'Bigsimr.jl' for its core routines.

Version: 0.11.2
Depends: R (≥ 3.6.0)
Imports: JuliaCall
Suggests: testthat (≥ 3.0.0)
Published: 2021-09-11
Author: Alex Knudson [aut], Grant Schissler [aut, cre]
Maintainer: Grant Schissler <aschissler at>
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
SystemRequirements: Julia (>= 1.5), Bigsimr.jl, Distributions.jl
Materials: README
CRAN checks: bigsimr results


Reference manual: bigsimr.pdf


Package source: bigsimr_0.11.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bigsimr_0.11.2.tgz, r-oldrel (arm64): bigsimr_0.11.2.tgz, r-release (x86_64): bigsimr_0.11.2.tgz, r-oldrel (x86_64): bigsimr_0.11.2.tgz
Old sources: bigsimr archive


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