{ "_id": "6aace5f73d719c1f84072b99", "Type": "Package", "Package": "simITS", "Title": "Analysis via Simulation of Interrupted Time Series (ITS) Data", "Version": "0.1.1", "Authors@R": "c(person(given = \"Luke\",\nfamily = \"Miratrix\",\nrole = c(\"aut\", \"cre\"),\nemail = \"lmiratrix@g.harvard.edu\"),\nperson(given = \"Brit\",\nfamily = \"Henderson\",\nrole = \"ctb\",\nemail = \"Brit.Henderson@mdrc.org\"),\nperson(given = \"Chloe\",\nfamily = \"Anderson\",\nrole = \"ctb\",\nemail = \"Chloe.AAnderson@mdrc.org\"),\nperson(given = \"Arnold Ventures\", role=\"fnd\"),\nperson(given = \"MDRC\", role=\"fnd\") )", "Description": "Uses simulation to create prediction intervals for\npost-policy outcomes in interrupted time series (ITS) designs,\nfollowing Miratrix (2020) . This package\nprovides methods for fitting ITS models with lagged outcomes\nand variables to account for temporal dependencies. It then\nconducts inference via simulation, simulating a set of\nplausible counterfactual post-policy series to compare to the\nobserved post-policy series. This package also provides methods\nto visualize such data, and also to incorporate seasonality\nmodels and smoothing and aggregation/summarization. This work\npartially funded by Arnold Ventures in collaboration with MDRC.", "License": "GPL-3", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Repository": "https://lmiratrix.r-universe.dev", "Date/Publication": "2023-09-01 19:17:22 UTC", "RemoteUrl": "https://github.com/lmiratrix/simits", "RemoteRef": "HEAD", "RemoteSha": "6a4c3cb91f0357ca6d1ba21c5dc063566088d4b3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-18 06:55:16 UTC", "User": "root" }, "Author": "Luke Miratrix [aut, cre],\nBrit Henderson [ctb],\nChloe Anderson [ctb],\nArnold Ventures [fnd],\nMDRC [fnd]", "Maintainer": "Luke Miratrix ", "_user": "lmiratrix", "_type": "src", "_file": "simITS_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/b17a1c23dda2f9292469d27f9c4e4351f08281ca1ca5f4f1d7bb538b5e0f4189", "_filesize": 890185, "_sha256": "b17a1c23dda2f9292469d27f9c4e4351f08281ca1ca5f4f1d7bb538b5e0f4189", "_expires": "2026-12-27T07:19:16.000Z", "_created": 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