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  "Package": "mhazard",
  "Title": "Nonparametric and Semiparametric Methods for Multivariate\nFailure Time Data",
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  "Authors@R": "c(person(given = \"Eric\",\nfamily = \"Bair\",\nrole = c(\"aut\", \"cre\"),\nemail = \"eric.bair@sciome.com\"),\nperson(given = \"Taylor\",\nfamily = \"Petty\",\nrole = \"aut\"),\nperson(given = \"Shanshan\",\nfamily = \"Zhao\",\nrole = \"aut\"))",
  "Description": "Nonparametric survival function estimates and\nsemiparametric regression for the multivariate failure time\ndata with right-censoring. For nonparametric survival function\nestimates, the Volterra, Dabrowska, and Prentice-Cai estimates\nfor bivariate failure time data may be computed as well as the\nDabrowska estimate for the trivariate failure time data.\nBivariate marginal hazard rate regression can be fitted for the\nbivariate failure time data. Functions are also provided to\ncompute (bootstrap) confidence intervals and plot the estimates\nof the bivariate survival function. For details, see \"The\nStatistical Analysis of Multivariate Failure Time Data: A\nMarginal Modeling Approach\", Prentice, R., Zhao, S. (2019,\nISBN: 978-1-4822-5657-4), CRC Press.",
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  "Repository": "https://ericbair-sciome.r-universe.dev",
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