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 unr.edu> |
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 (>= 1.5), 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: bigsimr_0.11.2.zip, r-release: bigsimr_0.11.2.zip, r-oldrel: bigsimr_0.11.2.zip |
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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