{ "_id": "6a1053d2acfb0bcc41ca1e63", "Package": "tidyhte", "Title": "Tidy Estimation of Heterogeneous Treatment Effects", "Version": "1.0.4", "Authors@R": "person(given = \"Drew\",\nfamily = \"Dimmery\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"cran@ddimmery.com\",\ncomment = c(ORCID = \"0000-0001-9602-6325\"))", "Description": "Estimates heterogeneous treatment effects using tidy\nsemantics on experimental or observational data. Methods are\nbased on the doubly-robust learner of Kennedy (2023)\n. You provide a simple recipe for what\nmachine learning algorithms to use in estimating the nuisance\nfunctions and 'tidyhte' will take care of cross-validation,\nestimation, model selection, diagnostics and construction of\nrelevant quantities of interest about the variability of\ntreatment effects.", "URL": "https://github.com/ddimmery/tidyhte\nhttps://ddimmery.github.io/tidyhte/index.html", "BugReports": "https://github.com/ddimmery/tidyhte/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Repository": "https://ddimmery.r-universe.dev", "Date/Publication": "2025-10-09 19:52:05 UTC", "RemoteUrl": "https://github.com/ddimmery/tidyhte", "RemoteRef": "HEAD", "RemoteSha": "ee927ee94b99e8ce93489267f0cb38c90bca0ae2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-09 08:48:11 UTC", "User": "root" }, "Author": "Drew Dimmery [aut, cre, cph] 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model", "topics": [ "add_effect_diagnostic" ] }, { "page": "add_effect_model", "title": "Add an additional model to the joint effect ensemble", "topics": [ "add_effect_model" ] }, { "page": "add_known_propensity_score", "title": "Uses a known propensity score", "topics": [ "add_known_propensity_score" ] }, { "page": "add_moderator", "title": "Adds moderators to the configuration", "topics": [ "add_moderator" ] }, { "page": "add_outcome_diagnostic", "title": "Add an additional diagnostic to the outcome model", "topics": [ "add_outcome_diagnostic" ] }, { "page": "add_outcome_model", "title": "Add an additional model to the outcome ensemble", "topics": [ "add_outcome_model" ] }, { "page": "add_propensity_diagnostic", "title": "Add an additional diagnostic to the propensity score", "topics": [ "add_propensity_diagnostic" ] }, { "page": "add_propensity_score_model", "title": "Add an additional model to the propensity score ensemble", "topics": [ "add_propensity_score_model" ] }, { "page": 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