{ "_id": "6a2515b64b233be19838b4d8", "Package": "gpss", "Title": "Gaussian Processes for Social Science", "Version": "1.0.3", "Date": "2026-04-01", "Authors@R": "c(person(\"Soonhong\", \"Cho\", , \"tnsehdtm@gmail.com\", role = c(\"aut\")),\nperson(\"Doeun\", \"Kim\", , \"doeun2@ucla.edu\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-4789-6599\")),\nperson(\"Chad\", \"Hazlett\", , \"chazlett@ucla.edu\", role = c(\"aut\", \"cre\")))", "Description": "Provides Gaussian process (GP) regression tools for social\nscience inference problems. GPs combine flexible nonparametric\nregression with principled uncertainty quantification: rather\nthan committing to a single model fit, the posterior reflects\nlesser knowledge at the edge of or beyond the observed data,\nwhere other approaches become highly model-dependent. The\npackage reduces user-chosen hyperparameters from three to zero\nand supplies convenience functions for regression discontinuity\n(gp_rdd()), interrupted time-series (gp_its()), and general GP\nfitting (gpss(), gp_train(), gp_predict()). Methods are\ndescribed in Cho, Kim, and Hazlett (2026)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "URL": "https://doeunkim.org/gpss/, https://github.com/doeun-kim/gpss", "BugReports": "https://github.com/doeun-kim/gpss/issues", "LazyData": "true", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-07 06:51:27 UTC", "User": "root" }, "Author": "Soonhong Cho [aut], Doeun Kim [aut] (ORCID:\n), Chad Hazlett [aut,\ncre]", "Maintainer": "Chad Hazlett ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-04-08 21:05:31 UTC", "RemoteUrl": "https://github.com/cran/gpss", "RemoteRef": "HEAD", "RemoteSha": "db13ce6c593258e1bd2be42ebcb52c03ff992b5d", "MD5sum": "a0b587751ad0c75de333993ab10778b7", "_user": "cran", "_type": "src", "_file": "gpss_1.0.3.tar.gz", "_fileid": "1b70d3861b86de8c6f80f756db1d8169c476dc8e6a5232995830e185881de391", "_filesize": 215505, "_sha256": "1b70d3861b86de8c6f80f756db1d8169c476dc8e6a5232995830e185881de391", 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