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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": "2026-10-09 09:16:58 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", "_user": "osysoev", "_type": "src", "_file": "psica_1.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/e51053986180f56138603d71a09c47a3b7529cc1f0c0c57b8068ab54e09fb039", "_filesize": 107121, "_sha256": "e51053986180f56138603d71a09c47a3b7529cc1f0c0c57b8068ab54e09fb039", 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