Package: fake 1.5.0

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) <doi:10.1093/jrsssc/qlad058>).

Authors:Barbara Bodinier [aut, cre]

fake_1.5.0.tar.gz
fake_1.5.0.zip(r-4.7)fake_1.5.0.zip(r-4.6)fake_1.5.0.zip(r-4.5)
fake_1.5.0.tgz(r-4.6-any)fake_1.5.0.tgz(r-4.5-any)
fake_1.5.0.tar.gz(r-4.7-any)fake_1.5.0.tar.gz(r-4.6-any)
fake_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fake/json (API)
NEWS

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

Bug tracker:https://github.com/barbarabodinier/fake/issues

On CRAN:

Conda:

5.48 score 6 stars 3 packages 113 scripts 650 downloads 21 exports 15 dependencies

Last updated from:3592e4741e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK154
linux-release-x86_64OK121
macos-release-arm64OK95
macos-oldrel-arm64OK100
windows-develOK74
windows-releaseOK80
windows-oldrelOK76
wasm-releaseOK111

Exports:BlockDiagonalBlockMatrixBlockStructureConcordanceContrastExpectedCommunitiesExpectedConcordanceHeatmapLayeredDAGMakePositiveDefiniteMatchingArgumentsMinWithinProbaROCSimulateAdjacencySimulateClusteringSimulateComponentsSimulateCorrelationSimulateGraphicalSimulatePrecisionSimulateRegressionSimulateStructural

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrbibutilsRdpackrlangvctrswithr