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  "Title": "Methods for Checking the Markov Condition in Multi-State\nSurvival Data",
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  "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) <doi:10.1007/s00180-021-01139-7> and Titman AC, Putter H\n(2020) <doi:10.1093/biostatistics/kxaa030>).",
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      "title": "Global test and local test for checking the Markov condition on Multi-state Models based on the Area Under the two curves (AUC) given by the non-Markov estimators of the transition probabilities to the Markov Aalen-Johansen estimators.",
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      "topics": [
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      "topics": [
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      ]
    },
    {
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      "title": "Count number of observed transitions.",
      "topics": [
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      ]
    },
    {
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        "LR.test"
      ]
    },
    {
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      "title": "Cox PH global test for checking the Markov condition on Multi-state Models.",
      "topics": [
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    },
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      "title": "Plot for an object of class \"markovMSM\"",
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