{ "_id": "6a229009cd65a98ecbd55874", "Package": "simule", "Version": "1.3.0", "Date": "2018-07-02", "Title": "A Constrained L1 Minimization Approach for Estimating Multiple\nSparse Gaussian or Nonparanormal Graphical Models", "Authors@R": "c(person(\"Beilun\", \"Wang\", role = c(\"aut\", \"cre\"), email = \"bw4mw@virginia.edu\"), person(\"Yanjun\", \"Qi\", role = \"aut\", email = \"yanjun@virginia.edu\"),person(\"Zhaoyang\", \"Wang\", role = c(\"aut\"), email = \"zw4dn@virginia.edu\"))", "Author": "Beilun Wang [aut, cre], Yanjun Qi [aut], Zhaoyang Wang [aut]", "Maintainer": "Beilun Wang ", "Description": "This is an R implementation of a constrained l1\nminimization approach for estimating multiple Sparse Gaussian\nor Nonparanormal Graphical Models (SIMULE). The SIMULE\nalgorithm can be used to estimate multiple related precision\nmatrices. For instance, it can identify context-specific gene\nnetworks from multi-context gene expression datasets. By\nperforming data-driven network inference from high-dimensional\nand heterogenous data sets, this tool can help users\neffectively translate aggregated data into knowledge that take\nthe form of graphs among entities. Please run demo(simuleDemo)\nto learn the basic functions provided by this package. For\nfurther details, please read the original paper: Beilun Wang,\nRitambhara Singh, Yanjun Qi (2017)\n.", "License": "GPL-2", "URL": "https://github.com/QData/SIMULE", "BugReports": "https://github.com/QData/SIMULE", "RoxygenNote": "6.0.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-05 08:57:08 UTC", "User": "root" }, "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://blw921.r-universe.dev", "Date/Publication": "2018-07-02 20:10:03 UTC", "RemoteUrl": "https://github.com/cran/simule", "RemoteRef": "HEAD", "RemoteSha": "aa8fabf8ccecfcb237cc2a855add23f668efaf14", "MD5sum": "f5f54f3433f40f34bf1d0133fedbad10", "_user": "blw921", "_type": "src", "_file": "simule_1.3.0.tar.gz", "_fileid": "a52c7a8104f6ed7b5beefedfd19520247852e5eb84439f31a49594dfd8dfb1de", "_filesize": 521590, "_sha256": "a52c7a8104f6ed7b5beefedfd19520247852e5eb84439f31a49594dfd8dfb1de", "_created": "2026-06-05T08:57:08.000Z", "_published": "2026-06-05T08:59:53.381Z", "_distro": "noble", 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