bigsimr: Fast Generation of High-Dimensional Random Vectors

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

Version: 0.12.0
Depends: R (≥ 3.6.0)
Imports: JuliaCall
Suggests: testthat (≥ 3.0.0)
Published: 2024-02-21
Author: Alex Knudson [aut, cre], Grant Schissler [aut], Duc Tran [ctb]
Maintainer: Alex Knudson <alexk.706 at gmail.com>
BugReports: https://github.com/SchisslerGroup/Bigsimr.jl/issues
License: GPL-3
Copyright: see file COPYRIGHTS
URL: https://github.com/SchisslerGroup/r-bigsimr
NeedsCompilation: no
SystemRequirements: Julia (>= 1.7), Bigsimr.jl, Distributions.jl
Materials: README
CRAN checks: bigsimr results

Documentation:

Reference manual: bigsimr.pdf

Downloads:

Package source: bigsimr_0.12.0.tar.gz
Windows binaries: r-devel: bigsimr_0.11.2.zip, r-release: bigsimr_0.12.0.zip, r-oldrel: bigsimr_0.12.0.zip
macOS binaries: r-release (arm64): bigsimr_0.12.0.tgz, r-oldrel (arm64): bigsimr_0.12.0.tgz, r-release (x86_64): bigsimr_0.12.0.tgz
Old sources: bigsimr archive

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