{ "_id": "6a26944424555f66ed51c7d6", "Package": "markovMSM", "Type": "Package", "Title": "Methods for Checking the Markov Condition in Multi-State\nSurvival Data", "Version": "0.1.3", "Authors@R": "c(\nperson(\ngiven = \"Gustavo\",\nfamily = \"Soutinho\",\nrole = c(\"aut\", \"cre\"),\nemail = \"gustavosoutinho@sapo.pt\",\ncomment = c(ORCID = \"0000-0002-0559-1327\")\n),\nperson(\ngiven = \"Luis\",\nfamily = \"Meira-Machado\",\nrole = \"aut\",\nemail = \"lmachado@math.uminho.pt\",\ncomment = c(ORCID = \"0000-0002-8577-7665\")\n)\n)", "Description": "The inference in multi-state models is traditionally\nperformed under a Markov assumption that claims that past and\nfuture of the process are independent given the present state.\nIn this package, we consider tests of the Markov assumption\nthat are applicable to general multi-state models. Three\napproaches using existing methodology are considered: a simple\nmethod based on including covariates depending on the history\nin Cox models for the transition intensities; methods based on\nmeasuring the discrepancy of the non-Markov estimators of the\ntransition probabilities to the Markov Aalen-Johansen\nestimators; and, finally, methods that were developed by\nconsidering summaries from families of log-rank statistics\nwhere patients are grouped by the state occupied of the process\nat a particular time point (see Soutinho G, Meira-Machado L\n(2021) and Titman AC, Putter H\n(2020) ).", "License": "GPL-3", "RoxygenNote": "7.2.1", "Encoding": "UTF-8", "LazyLoad": "yes", "LazyData": "yes", "NeedsCompilation": "yes", "VignetteBuilder": "knitr", "Packaged": { "Date": "2026-06-08 10:03:11 UTC", "User": "root" }, "Author": "Gustavo Soutinho [aut, cre]\n(), Luis Meira-Machado\n[aut] ()", "Maintainer": "Gustavo Soutinho ", "Repository": "https://gsoutinho.r-universe.dev", 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