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
bigsimr_0.12.0.zip(r-4.7)bigsimr_0.12.0.zip(r-4.6)bigsimr_0.12.0.zip(r-4.5)
bigsimr_0.12.0.tgz(r-4.6-any)bigsimr_0.12.0.tgz(r-4.5-any)
bigsimr_0.12.0.tar.gz(r-4.7-any)bigsimr_0.12.0.tar.gz(r-4.6-any)
bigsimr_0.12.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

1.85 score 14 scripts 210 downloads 2 exports 8 dependencies

Last updated from:5e3fa4b64b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	104
source / vignettes	OK	201
linux-release-x86_64	OK	105
macos-release-arm64	OK	175
macos-oldrel-arm64	OK	159
windows-devel	OK	117
windows-release	OK	58
windows-oldrel	OK	52
wasm-release	OK	115