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Methods for estimating weighted regression models that\ntake into account uncertainty in the estimation of the weights\nvia M-estimation or bootstrapping are available. See the\nvignette \"Installing Supporting Packages\" for instructions on\nhow to install any optional package 'WeightIt' uses, including\nthose that may not be on CRAN.", "License": "GPL (>=2)", "Language": "en-US", "Encoding": "UTF-8", "URL": "https://ngreifer.github.io/WeightIt/,\nhttps://github.com/ngreifer/WeightIt", "BugReports": "https://github.com/ngreifer/WeightIt/issues", "VignetteBuilder": "knitr", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.1.0", "Repository": "https://ngreifer.r-universe.dev", "Date/Publication": "2026-10-15 14:35:11 UTC", "RemoteUrl": "https://github.com/ngreifer/weightit", "RemoteRef": "HEAD", "RemoteSha": "41e06c62b3880d6a119764b37cbc39e582a0e547", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-15 17:25:20 UTC", "User": "root" }, "Author": "Noah Greifer [aut, cre, cph] (ORCID:\n)", "Maintainer": "Noah Greifer ", "_user": "ngreifer", "_type": "src", "_file": "WeightIt_2.1.0.9001.tar.gz", "_fileid": "https://r2.ropensci.org/7510da8992db6557de36197de55ac26149abf540ce6e77f4ec318464b712f8e6", "_filesize": 2026732, "_sha256": "7510da8992db6557de36197de55ac26149abf540ce6e77f4ec318464b712f8e6", "_expires": "2027-01-23T17:47:28.000Z", "_created": "2026-10-15T17:25:20.000Z", "_published": "2026-10-15T17:47:30.227Z", "_buildurl": "https://github.com/r-universe/ngreifer/actions/runs/38776397448", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 116568202275, "time": 231, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11995090310" }, { "job": 116568202136, "time": 218, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11994756786" }, { "job": 116568202237, "time": 215, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11994809612" }, { "job": 116568202302, "time": 182, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11995661239" }, { "job": 116565196330, "time": 372, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11993982361" }, { "job": 116568202139, "time": 148, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11994307227" }, { "job": 116568202229, "time": 211, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11994107796" }, { "job": 116568202371, "time": 132, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11993713612" }, { "job": 116568202226, "time": 185, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11993368900" } ], "_upstream": "https://github.com/ngreifer/weightit", "_commit": { "id": "41e06c62b3880d6a119764b37cbc39e582a0e547", "author": "Noah Greifer ", "committer": "Noah Greifer ", "message": "Accept as.weightit() objects without s.weights in the fitting functions, fix one-row predict() and majority-top-category fits for ordinal_weightit(), and give sbps() clear errors for objects not from weightit()\n\nThe first two bugs were reported from mediation. glm_weightit(), lm_weightit(),\nordinal_weightit(), multinom_weightit(), and coxph_weightit() failed with\n\"replacement has 0 rows\" when given an as.weightit() or as.weightitMSM() object\nwithout s.weights. predict() after ordinal_weightit() failed for one row of\nnewdata, and predictions with `level` dropped the row name of a single row (also\nafter multinom_weightit()).\n\nordinal_weightit() split the outcome above the top category for its starting\nvalues when that category held most units, so it failed to fit, as did ordered\ntreatments with weightit(method = \"glm\"). sbps() now says that obj2 and formula\nare required when obj did not come from weightit(); with both, such objects\nalready worked. 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