Package: fake 1.4.0

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) <arxiv:2106.02521>).

Authors:Barbara Bodinier [aut, cre]

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

On CRAN:

21 exports 6 stars 1.41 score 18 dependencies 1 dependents 72 scripts 347 downloads

Last updated 1 years agofrom:37f655cd02. Checks:OK: 7. Indexed: yes.

Exports:BlockDiagonalBlockMatrixBlockStructureConcordanceContrastExpectedCommunitiesExpectedConcordanceHeatmapLayeredDAGMakePositiveDefiniteMatchingArgumentsMinWithinProbaROCSimulateAdjacencySimulateClusteringSimulateComponentsSimulateCorrelationSimulateGraphicalSimulatePrecisionSimulateRegressionSimulateStructural

Dependencies:clicpp11gluehugeigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrbibutilsRcppRcppEigenRdpackrlangvctrswithr