{ "_id": "6a290e00732311cd8759556d", "Package": "AIPW", "Title": "Augmented Inverse Probability Weighting", "Version": "0.6.9.3", "Authors@R": "c(person(given = \"Yongqi\",\nfamily = \"Zhong\",\nrole = c(\"aut\", \"cre\"),\nemail = \"yq.zhong7@gmail.com\",\ncomment = c(ORCID = \"0000-0002-4042-7450\")),\nperson(given = \"Ashley\",\nfamily = \"Naimi\",\nrole = c(\"aut\"),\nemail = \"ashley.naimi@emory.edu\",\ncomment = c(ORCID = \"0000-0002-1510-8175\")),\nperson(given = \"Gabriel\",\nfamily = \"Conzuelo\",\nrole = c(\"ctb\"),\nemail = \"gabriel.conzuelo@pitt.edu\"),\nperson(given = \"Edward\",\nfamily = \"Kennedy\",\nrole = c(\"ctb\"),\nemail = \"edward@stat.cmu.edu\"))", "Maintainer": "Yongqi Zhong ", "Description": "The 'AIPW' package implements the augmented inverse\nprobability weighting, a doubly robust estimator, for average\ncausal effect estimation with user-defined stacked machine\nlearning algorithms. To cite the 'AIPW' package, please use:\n\"Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I.\nNaimi (2021). AIPW: An R Package for Augmented Inverse\nProbability Weighted Estimation of Average Causal Effects.\nAmerican Journal of Epidemiology. \".\nVisit: for more information.", "License": "GPL-3", "Encoding": "UTF-8", "Language": "en", "LazyData": "true", "Roxygen": "list(markdown = TRUE, r6 = FALSE)", "RoxygenNote": "7.2.2", "URL": "https://github.com/yqzhong7/AIPW", "BugReports": "https://github.com/yqzhong7/AIPW/issues", "VignetteBuilder": "knitr", "Repository": "https://yqzhong7.r-universe.dev", "Date/Publication": "2026-04-11 17:40:01 UTC", "RemoteUrl": "https://github.com/yqzhong7/aipw", "RemoteRef": "HEAD", "RemoteSha": "23a85c46eaad337a2a60c650fdd7542fcb042167", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 07:05:58 UTC", "User": "root" }, "Author": "Yongqi Zhong [aut, cre] (ORCID:\n),\nAshley Naimi [aut] (ORCID: ),\nGabriel Conzuelo [ctb],\nEdward Kennedy [ctb]", "MD5sum": "e3e909a0754a785d361f84724dbde628", "_user": "yqzhong7", "_type": "src", "_file": 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"check": "OK", "artifact": "7528800180" }, { "job": 80501145827, "time": 263, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7528842703" }, { "job": 80501145850, "time": 110, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7528798041" }, { "job": 80501145823, "time": 107, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7528797411" } ], "_buildurl": "https://github.com/r-universe/yqzhong7/actions/runs/27259147451", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/yqzhong7/aipw", "_commit": { "id": "23a85c46eaad337a2a60c650fdd7542fcb042167", "author": "Yongqi Zhong <32525464+yqzhong7@users.noreply.github.com>", "committer": "GitHub ", "message": "Dev (#57)\n\n* merge from master branch (#45)\n\n* Update pkgdown site (#44)\r\n\r\n* config github action\r\n\r\n* add citation\r\n\r\n* Create CITATION\r\n\r\n* add citation in description\r\n\r\n* modify citation\r\n\r\n* change github workflow\r\n\r\n* change superlearner url to meet cran\r\n\r\n* change title\r\n\r\n* fix documentation per CRAN's comment\r\n\r\n* update version num\r\n\r\n* fix bibtex\r\n\r\n* add cran badge\r\n\r\n* update doc\r\n\r\n* Update citation\r\n\r\n* fix citation\r\n\r\n* Fix readme\r\n\r\n* fix readme\r\n\r\n* Added Repeated class allows repeated cross-fitting\r\n\r\n* fix gh actions\r\n\r\n* Repeated cross-fitting to reduce randomness (#38)\r\n\r\n* remove sl3 and tmle3 supports\r\n\r\n* remove sl3 in unit tests\r\n\r\n* fix bug and continue removing sl3 tests\r\n\r\n* remove sl3 again!\r\n\r\n* remove check on R 3.6 for GH action\r\n\r\n* added documentation for Repeated class\r\n\r\n* update pkgdown yaml for ghactions\r\n\r\n* remove pkgdown pages when pr\r\n\r\n* resolve #39 (#40)\r\n\r\n* update GH action\r\n\r\n* update documentation\r\n\r\n* fix pkgdown ghaction\r\n\r\n* update pkgdown yaml\r\n\r\n* fix Repeated cf vignette title\n\n* fix continous outcome for exposure model (#50)\n\n* fix continous outcome for exposure model\r\n\r\n* fix g.model for binary treatment\n\n* fix repeated fitting when stratefied_fit is enabled\n\n* update github action cache\n\n* update github action\n\n* ghaction again\n\n* fix codecov\n\n* update github action R-CMD-check\n\n* continue to fix R-CMD-check\n\n* Update namespace and documentation.\n\n* Update README\n\n* git up R-CMD-check\n\n* fix R-CMD-Check\n\n* fix Rd\n\n* fix citation format\n\n* update version number\n\n* fix citation\n\n* fix citation\n\n* fix language\n\n* fix ghaction for ubuntu", "time": 1775929201 }, "_maintainer": { "name": "Yongqi Zhong", "email": "yq.zhong7@gmail.com", "login": "yqzhong7", "orcid": "0000-0002-4042-7450", "twitter": "@yqzhong7", "description": "", "uuid": 32525464 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "R6", "role": 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Randomized Trial", "object": "eager_sim_rct", "class": [ "data.frame" ], "fields": [ "sim_Y", "sim_Tx", "eligibility", "loss_num", "age", "time_try_pregnant", "BMI", "meanAP" ], "rows": 1228, "table": true, "tojson": true } ], "_help": [ { "page": "AIPW", "title": "Augmented Inverse Probability Weighting (AIPW)", "topics": [ "AIPW" ] }, { "page": "AIPW_base", "title": "Augmented Inverse Probability Weighting Base Class (AIPW_base)", "topics": [ "AIPW_base" ] }, { "page": "AIPW_nuis", "title": "Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs", "topics": [ "AIPW_nuis" ] }, { "page": "AIPW_tmle", "title": "Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs", "topics": [ "AIPW_tmle" ] }, { "page": "aipw_wrapper", "title": "AIPW wrapper function", "topics": [ "aipw_wrapper" ] }, { "page": "eager_sim_obs", "title": "Simulated Observational Study", "topics": [ "eager_sim_obs" ] }, { "page": "eager_sim_rct", "title": "Simulated Randomized Trial", "topics": [ "eager_sim_rct" ] }, { "page": "fit", "title": "Fit the data to the AIPW object", "topics": [ "fit", "fit.AIPW" ] }, { "page": "plot.ip_weights", "title": "Plot the inverse probability weights using truncated propensity scores by exposure status", "topics": [ "plot.ip_weights" ] }, { "page": "plot.p_score", "title": "Plot the propensity scores by exposure status", "topics": [ "plot.p_score" ] }, { "page": "Repeated", "title": "Repeated Crossfitting Procedure for AIPW", "topics": [ "Repeated" ] }, { "page": "repfit", "title": "Fit the data to the AIPW object repeatedly", "topics": [ "repfit", "repfit.Repeated" ] }, { "page": "stratified_fit", "title": "Fit the data to the AIPW object stratified by 'A' for the outcome model", "topics": [ "stratified_fit", "stratified_fit.AIPW" ] }, { "page": "summary", "title": "Summary of the average treatment effects from AIPW", "topics": [ "summary", "summary.AIPW_base" ] }, { "page": "summary_median", "title": "Summary of the 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