{ "_id": "6aae68db3d719c1f8407c674", "Package": "dScoreTest", "Title": "Debiased Score Tests for Goodness of Fit and Model Comparison", "Version": "1.0.0", "Authors@R": "c(\nperson(\"F. Richard\", \"Guo\", email = \"ricguo@umich.edu\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-2081-7398\")),\nperson(\"Aditya\", \"Dhawan\", email = \"ad950@cam.ac.uk\",\nrole = \"aut\"))", "Description": "Debiased (Neyman-orthogonalized) score tests for assessing\nwhether a semiparametric or parametric regression model is\nwell-specified and for comparing nested models. The test\nemploys a hunt-and-test strategy: on a held-out hunt sample, it\nfits the null model and uses machine learning to find a\ndirection in which the null model's score seems positive; on an\nindependent test sample, it assesses the significance of the\nscore in the hunted direction. The test employs\northogonalization to eliminate the bias from estimating the\nnull model, yielding a test statistic that is asymptotically\nstandard normal under the null without requiring a parametric\nform for the alternative. Methods are provided for 'glm', 'lm'\nand 'mgcv::gam' fits as well as for detecting heterogeneous\ntreatment effects. The methodology is described in Dhawan, Guo\nand Shah (2026) .", "URL": "https://unbiased.co.in/dScoreTest/,\nhttps://github.com/richardkwo/dScoreTest", "BugReports": "https://github.com/richardkwo/dScoreTest/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/Needs/website": "rmarkdown", "Config/pak/sysreqs": "make", "Repository": "https://richardkwo.r-universe.dev", "Date/Publication": "2026-08-05 22:23:07 UTC", "RemoteUrl": "https://github.com/richardkwo/dscoretest", "RemoteRef": "HEAD", "RemoteSha": "bda20925f496e5c53c98b3f1a0379fd9fd939c60", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 10:46:46 UTC", "User": "root" }, "Author": "F. Richard Guo [aut, cre, cph] (ORCID:\n),\nAditya Dhawan [aut]", "Maintainer": "F. 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