fake: Flexible Data Simulation Using the Multivariate Normal Distribution

This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021) <arXiv:2106.02521>).

Version: 1.3.0
Imports: huge, igraph, MASS, Rdpack, withr (≥ 2.4.0)
Suggests: testthat (≥ 3.0.0)
Published: 2022-12-09
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

Documentation:

Reference manual: fake.pdf

Downloads:

Package source: fake_1.3.0.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
Old sources: fake archive

Reverse dependencies:

Reverse depends: sharp

Linking:

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