{ "_id": "6a1036a8acfb0bcc41c9a241", "Package": "psica", "Type": "Package", "Title": "Decision Tree Analysis for Probabilistic Subgroup Identification\nwith Multiple Treatments", "Version": "1.0.2", "Author": "Oleg Sysoev, Krzysztof Bartoszek, Katarina Ekholm Selling and\nLotta Ekstrom", "Maintainer": "Oleg Sysoev ", "Description": "In the situation when multiple alternative treatments or\ninterventions available, different population groups may\nrespond differently to different treatments. This package\nimplements a method that discovers the population subgroups in\nwhich a certain treatment has a better effect than the other\nalternative treatments. This is done by first estimating the\ntreatment effect for a given treatment and its uncertainty by\ncomputing random forests, and the resulting model is summarized\nby a decision tree in which the probabilities that the given\ntreatment is best for a given subgroup is shown in the\ncorresponding terminal node of the tree.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RdMacros": "Rdpack", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 06:41:10 UTC", "User": "root" }, "Repository": "https://osysoev.r-universe.dev", "Date/Publication": "2020-02-11 16:20:11 UTC", "RemoteUrl": "https://github.com/cran/psica", "RemoteRef": "HEAD", "RemoteSha": "ffbc3edfb1cd038f16a822d84cdcb06f033e45b9", "MD5sum": "0566dcc6b309382e1662bf92a99d1be8", "_user": "osysoev", "_type": "src", "_file": "psica_1.0.2.tar.gz", "_fileid": "959ad5f6b1b07798a761e55089ea8e4bf9f2d25a44cd90209de2f82cec31f725", "_filesize": 108800, "_sha256": 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