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bigsimr

swMATH ID: 40526
Software Authors: Alex Knudson, Grant Schissler
Description: R package 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.
Homepage: https://cran.r-project.org/web/packages/bigsimr/index.html
Source Code:  https://github.com/cran/bigsimr
Dependencies: R
Keywords: R; R package; bigsimr; arXiv_stat.CO; arXiv_stat.AP; high-dimensional data; multivariate simulation; nonparametric correlation; Gaussian copula; RNA-sequencing data; breast cancer
Related Software: tidyverse; Python; GenOrd; NORTARA; copula; mvnfast; MASS (R); NumPy; PROC SIMNORMAL; Julia; Bigsimr.jl; R
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
Simulating High-Dimensional Multivariate Data using the bigsimr R Package arXiv
A. Grant Schissler, Edward J. Bedrick, Alexander D. Knudson, Tomasz J. Kozubowski, Tin Nguyen, Juli Petereit, Walter W. Piegorsch, Duc Tran
2021