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-any)fake_1.5.0.zip(r-4.6-any)fake_1.5.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
fake/json (API)

# 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:

5.40 score 6 stars 2 packages 141 scripts 507 downloads 21 exports 15 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK178
linux-releaseOK134
macos-releaseOK84
macos-oldrelOK114
windows-develOK69
windows-releaseOK72
windows-oldrelOK63
wasm-releaseOK126

Exports:BlockDiagonalBlockMatrixBlockStructureConcordanceContrastExpectedCommunitiesExpectedConcordanceHeatmapLayeredDAGMakePositiveDefiniteMatchingArgumentsMinWithinProbaROCSimulateAdjacencySimulateClusteringSimulateComponentsSimulateCorrelationSimulateGraphicalSimulatePrecisionSimulateRegressionSimulateStructural

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrbibutilsRdpackrlangvctrswithr