{ "_id": "6a0f640aacfb0bcc41c5caac", "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": "2026-05-21 10:23:38 UTC", "User": "root" }, "Author": "Luke Miratrix [aut, cre],\nBrit Henderson [ctb],\nChloe Anderson [ctb],\nArnold Ventures [fnd],\nMDRC [fnd]", "Maintainer": "Luke Miratrix ", "MD5sum": "1b949ecc48b4a4db4a3a5dab9cae0f98", "_user": "lmiratrix", "_type": "src", "_file": "simITS_0.1.1.tar.gz", "_fileid": "9d5ad8257fc2dc989915be280c4384821facb0ae01560fb9394d8a2469b08fad", "_filesize": 899691, "_sha256": "9d5ad8257fc2dc989915be280c4384821facb0ae01560fb9394d8a2469b08fad", "_created": "2026-05-21T10:23:38.000Z", 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