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  "Title": "Nonparametric Estimation of the Distribution of Gap Times for\nRecurrent Events",
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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),\nperson(\ngiven = \"Artur\",\nfamily = \"Araujo\",\nrole = \"ctb\",\nemail = \"artur.stat@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1419-4208\")\n),\nperson(\ngiven = \"Ana\",\nfamily = \"Moreira\",\nrole = \"ctb\",\nemail = \"a.moreira.cris@gmail.com\",\ncomment = c(ORCID = \"\")\n)\n)",
  "Description": "Provides estimates for the bivariate and trivariate\ndistribution functions and bivariate and trivariate survival\nfunctions for censored gap times. Two approaches, using\nexisting methodologies, are considered: (i) the Lin's\nestimator, which is based on the extension the Kaplan-Meier\nestimator of the distribution function for the first event time\nand the Inverse Probability of Censoring Weights for the second\ntime (Lin DY, Sun W, Ying Z (1999) <doi:10.1093/biomet/86.1.59>\nand (ii) another estimator based on Kaplan-Meier weights\n(Una-Alvarez J, Meira-Machado L (2008)\n<https://w3.math.uminho.pt/~lmachado/Biometria_conference.pdf>).\nThe proposed methods are the landmark estimators based on\nsubsampling approach, and the estimator based on weighted\ncumulative hazard estimator. The package also provides\nnonparametric estimator conditional to a given continuous\ncovariate. All these methods have been submitted to be\npublished.",
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  "Author": "Gustavo Soutinho [aut, cre]\n(<https://orcid.org/0000-0002-0559-1327>), Luis Meira-Machado\n[aut] (<https://orcid.org/0000-0002-8577-7665>), Artur Araujo\n[ctb] (<https://orcid.org/0000-0003-1419-4208>), Ana Moreira\n[ctb]",
  "Maintainer": "Gustavo Soutinho <gustavosoutinho@sapo.pt>",
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