Package: bigsimr 0.12.0

bigsimr: Fast Generation of High-Dimensional Random Vectors

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.

Authors:Alex Knudson [aut, cre], Grant Schissler [aut], Duc Tran [ctb]

bigsimr_0.12.0.tar.gz
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bigsimr.pdf |bigsimr.html✨
bigsimr/json (API)

# Install 'bigsimr' in R:
install.packages('bigsimr', repos = c('https://adknudson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/schisslergroup/bigsimr.jl/issues

On CRAN:

Conda-Forge:

1.85 score 14 scripts 302 downloads 2 exports 8 dependencies

Last updated 1 years agofrom:5e3fa4b64b. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winOKMar 01 2025
R-4.5-macOKMar 01 2025
R-4.5-linuxOKMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 01 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 01 2025

Exports:bigsimr_setupdistributions_setup

Dependencies:evaluatehighrJuliaCallknitrRcpprjsonxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Setup bigsimrbigsimr_setup
Setup Distributions.jldistributions_setup