{ "_id": "6a27238e24555f66ed529426", "Package": "CIMEHR", "Title": "Gaussian Clinically Informative Visiting and Observation\nProcesses in Electronic Health Record (EHR) Data", "Version": "0.1.0", "Authors@R": "c(\nperson(given = \"Cheng-Han\", family = \"Yang\",\nemail = \"chenghanyang728@gmail.com\",\nrole = c(\"aut\",\"cre\"),\ncomment = c(ORCID = \"0000-0002-4161-3140\")),\nperson(given = \"Yiren\", family = \"Hou\",\nemail = \"yiren.hou@yale.edu\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0009-0005-0422-4268\"))\n)", "Description": "Fits semiparametric joint models for longitudinal\nelectronic health record (EHR) data that addresses two-stage\nhierarchical missingness mechanism. The first stage is the\nvisiting process, and the second stage is the observation\nprocess. The core CIMEHR method (Clinical Informative\nMissingness for Electronic Health Records) uses a three-stage\nprocedure: partial likelihood with log-normal frailty for visit\nintensity, probit regression with shared latent factor-linked\nrandom effects for observation, and weighted least squares with\nrisk-set centering for the outcome. These three stages are\nconnected through a shared latent factor that induces\ndependence across all three processes. A data simulator and\nimplementations of common benchmark methods (linear mixed\nmodels, multiple imputation, and others) are included for\ncomparative studies. Detailed methods are described in Yang,\nShi, and Mukherjee (2026) .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "URL": "https://github.com/ysph-dsde/CIMEHR", "BugReports": "https://github.com/ysph-dsde/CIMEHR/issues", "VignetteBuilder": "knitr", "LazyData": "true", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-08 20:15:16 UTC", "User": "root" }, "Author": "Cheng-Han Yang [aut, cre] (ORCID:\n), Yiren Hou [aut]\n(ORCID: )", "Maintainer": "Cheng-Han Yang ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-08 18:00:25 UTC", "RemoteUrl": "https://github.com/cran/CIMEHR", "RemoteRef": "HEAD", "RemoteSha": "0555b23442b08c435aa25e76a5df9c4bbc926ab2", "MD5sum": "448ad044203fb8c951820e61467d29ba", "_user": "cran", "_type": "src", "_file": "CIMEHR_0.1.0.tar.gz", "_fileid": "33c6301b9b5adc08fac2ac832a73b497ef06d50b2eb58c14dfa0acfa3f171bd2", "_filesize": 1215592, "_sha256": "33c6301b9b5adc08fac2ac832a73b497ef06d50b2eb58c14dfa0acfa3f171bd2", "_created": "2026-06-08T20:15:16.000Z", "_published": "2026-06-08T20:18:22.128Z", "_distro": "noble", "_jobs": [ { "job": 80187288689, "time": 135, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7491383356" }, { "job": 80187288643, "time": 139, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7491383502" }, { "job": 80187288661, "time": 136, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7491383450" }, { "job": 80187288639, "time": 141, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7491384075" }, { "job": 80186620194, "time": 216, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7491332479" }, { "job": 80187288737, "time": 133, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7491381138" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27164046230", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/CIMEHR", "_commit": { "id": "0555b23442b08c435aa25e76a5df9c4bbc926ab2", "author": "Cheng-Han Yang ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1780941625 }, "_maintainer": { "name": "Cheng-Han Yang", "email": "chenghanyang728@gmail.com", "login": "cyang728", "description": "I am an Associate Research Sciesntist in Biostatistics program at Yale university. My research interests lie in EHR data analysis and survival analysis. 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