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  "Title": "Estimation of Smooth Hazard Models for Interval-Censored Data",
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  "Description": "Estimation of two-state (survival) models and irreversible\nillness- death models with possibly interval-censored,\nleft-truncated and right-censored data. Proportional\nintensities regression models can be specified to allow for\ncovariates effects separately for each transition. We use\neither a parametric approach with Weibull baseline intensities\nor a semi-parametric approach with M-splines approximation of\nbaseline intensities in order to obtain smooth estimates of the\nhazard functions. Parameter estimates are obtained by maximum\nlikelihood in the parametric approach and by penalized maximum\nlikelihood in the semi-parametric approach.",
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  "Maintainer": "Thomas Alexander Gerds <tag@biostat.ku.dk>",
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      "fileid": "https://r2.ropensci.org/2a935a9096350d457394c5a47d18427ffcdd76de29281475da6424043c970360",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tagteam/actions/runs/29000331709"
    }
  ]
}