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  "Package": "bigtcr",
  "Title": "Nonparametric Analysis of Bivariate Gap Time with Competing\nRisks",
  "Version": "1.1",
  "Author": "Chenguang Wang [aut, cre], Chiung-Yu Huang [aut], Mei-Cheng\nWang [aut]",
  "Maintainer": "Chenguang Wang <cwang68@jhmi.edu>",
  "Description": "For studying recurrent disease and death with competing\nrisks, comparisons based on the well-known cumulative incidence\nfunction can be confounded by different prevalence rates of the\ncompeting events. Alternatively, comparisons of the conditional\ndistribution of the survival time given the failure event type\nare more relevant for investigating the prognosis of different\npatterns of recurrence disease. This package implements a\nnonparametric estimator for the conditional cumulative\nincidence function and a nonparametric conditional bivariate\ncumulative incidence function for the bivariate gap times\nproposed in Huang et al. (2016) <doi:10.1111/biom.12494>.",
  "License": "GPL (>= 3)",
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  "Date/Publication": "2018-01-27 15:54:52 UTC",
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      "title": "Bivariate Gap Time with Competing Risks",
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        "bigtcr"
      ]
    },
    {
      "page": "get.ccif",
      "title": "Conditional Cumulative Incidence Function (CCIF) Estimation",
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      ]
    },
    {
      "page": "get.gap.ccif",
      "title": "Conditional Bivariate Cumulative Incidence Function Estimation",
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      "title": "Cause-Specific Kendall's tau Estimation",
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