Simulation of data from Gaussian Graphical Models (B Bodinier, S Filippi, TH Nost, J Chiquet, M Chadeau-Hyam (2021) <arXiv:2106.02521>). By controlling the conditional independence structure between the variables, these multivariate simulation tools can be used to evaluate the performance of regression, dimensionality reduction or graphical models.
Version: | 1.0.0 |
Imports: | huge, igraph, MASS, Rdpack, withr (≥ 2.4.0) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2022-08-09 |
Author: | Barbara Bodinier [aut, cre] |
Maintainer: | Barbara Bodinier <b.bodinier at imperial.ac.uk> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | README NEWS |
CRAN checks: | fake results |
Reference manual: | fake.pdf |
Package source: | fake_1.0.0.tar.gz |
Windows binaries: | r-devel: fake_1.0.0.zip, r-release: fake_1.0.0.zip, r-oldrel: fake_1.0.0.zip |
macOS binaries: | r-release (arm64): fake_1.0.0.tgz, r-oldrel (arm64): fake_1.0.0.tgz, r-release (x86_64): fake_1.0.0.tgz, r-oldrel (x86_64): fake_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=fake to link to this page.