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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 |
| Reference manual: | bigsimr.pdf |
| Package source: | bigsimr_0.12.0.tar.gz |
| Windows binaries: | r-devel: bigsimr_0.12.0.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, r-oldrel (x86_64): bigsimr_0.12.0.tgz |
| Old sources: | bigsimr archive |
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These binaries (installable software) and packages are in development.
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