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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.
Getting started
Browse package contents
Package details |
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| Author | Alex Knudson [aut], Grant Schissler [aut, cre] |
| Maintainer | Grant Schissler <aschissler@unr.edu> |
| License | GPL-3 |
| Version | 0.11.2 |
| URL | https://github.com/SchisslerGroup/r-bigsimr |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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