{ "_id": "6a0f6a3eacfb0bcc41c5e159", "Package": "fake", "Title": "Flexible Data Simulation Using the Multivariate Normal\nDistribution", "Version": "1.5.0", "Date": "2026-01-18", "Authors@R": "person(given = \"Barbara\",\nfamily = \"Bodinier\",\nrole = c(\"aut\", \"cre\"),\nemail = \"barbara.bodinier@gmail.com\")", "Maintainer": "Barbara Bodinier ", "Description": "This R package can be used to generate artificial data\nconditionally on pre-specified (simulated or user-defined)\nrelationships between the variables and/or observations. Each\nobservation is drawn from a multivariate Normal distribution\nwhere the mean vector and covariance matrix reflect the desired\nrelationships. Outputs can be used to evaluate the performances\nof variable selection, graphical modelling, or clustering\napproaches by comparing the true and estimated structures (B\nBodinier et al (2021) ).", "License": "GPL (>= 3)", "Language": "en-GB", "Encoding": "UTF-8", "RoxygenNote": "7.3.1", "Config/testthat/edition": "3", "RdMacros": "Rdpack", "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://barbarabodinier.r-universe.dev", "Date/Publication": "2026-01-18 14:40:27 UTC", "RemoteUrl": "https://github.com/barbarabodinier/fake", "RemoteRef": "HEAD", "RemoteSha": "3592e4741edbff50cf1948a5f132f975e89f8030", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 08:49:15 UTC", "User": "root" }, "Author": "Barbara Bodinier [aut, cre]", "MD5sum": "1a3c4fae356bf263a9156958fbe09998", "_user": "barbarabodinier", "_type": "src", "_file": "fake_1.5.0.tar.gz", "_fileid": "d7cb939c81eea00c6db223e75e61daaa5bde70c22bc4ee1905e3f6c6007e97cd", "_filesize": 521045, "_sha256": 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