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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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  "Copyright": "See inst/COPYRIGHTS",
  "Maintainer": "Thomas Alexander Gerds <tag@biostat.ku.dk>",
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  "Author": "Celia Touraine [aut], Thomas Alexander Gerds [aut, cre], Pierre\nJoly [aut] (Author and maintainer of the Fortran code), Cecile\nProust-Lima [aut] (Author of the Fortran code), Helene\nJacqmin-Gadda [aut] (Author of the Fortran code), Amadou\nDiakite [aut] (Author of the Fortran code), W.D. Cody [aut]\n(Author of the Fortran code), A.H. Morris [aut] (Author of the\nFortran code), B.W. Brown [aut] (Author of the Fortran code),\nRobin Genuer [ctb]",
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