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-4.5)bigsimr_0.12.0.zip(r-4.4)bigsimr_0.12.0.zip(r-4.3)
bigsimr_0.12.0.tgz(r-4.4-any)bigsimr_0.12.0.tgz(r-4.3-any)
bigsimr_0.12.0.tar.gz(r-4.5-noble)bigsimr_0.12.0.tar.gz(r-4.4-noble)
bigsimr_0.12.0.tgz(r-4.4-emscripten)bigsimr_0.12.0.tgz(r-4.3-emscripten)
bigsimr.pdf |bigsimr.html✨
bigsimr/json (API)

Peer review:

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

On CRAN:

2 exports 0.09 score 8 dependencies 12 scripts 290 downloads

Last updated 7 months agofrom:5e3fa4b64b. Checks:OK: 7. Indexed: yes.

Exports:bigsimr_setupdistributions_setup

Dependencies:evaluatehighrJuliaCallknitrRcpprjsonxfunyaml