{ "_id": "6af47626535793c853328ac2", "Package": "pcdreg", "Type": "Package", "Title": "Semiparametric Regression for Panel Count Data", "Version": "0.1.0.9000", "Authors@R": "c(\nperson(\"Dayu\", \"Sun\", email = \"dayusun@iu.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7149-3303\")),\nperson(\"Yuanyuan\", \"Guo\", role = \"ctb\",\ncomment = \"co-author of the method paper\"),\nperson(\"Yang\", \"Li\", role = \"ctb\",\ncomment = \"co-author of the method paper\"),\nperson(\"Wanzhu\", \"Tu\", role = \"ctb\",\ncomment = \"co-author of the method paper\"),\nperson(\"Jianguo\", \"Sun\", role = \"ctb\",\ncomment = \"co-author of the method paper\")\n)", "Description": "Fits semiparametric regression models to panel count data,\nthat is, to recurrent event processes observed only at\nintermittent examination times, allowing covariates to be\ntime-varying. The proportional rate model is fitted by\nnonparametric maximum likelihood through an\nexpectation-maximization algorithm under a working Poisson\nassumption, while inference does not require that assumption to\nhold; two computationally inexpensive covariance estimators are\nprovided, a robust sandwich estimator that remains consistent\nwhen the Poisson assumption fails and an efficient information\nestimator that is a fast substitute for profile likelihood when\nit holds, with the profile likelihood estimator available for\ncomparison. The proportional means model is fitted by the\nestimating equation of Hu, Sun and Wei (2003)\n. 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