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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