Estimation of Smooth Hazard Models for Interval-Censored Data

Estimation of two-state (survival) models and irreversible illness- death models with possibly interval-censored, left-truncated and right-censored data. Proportional intensities regression models can be specified to allow for covariates effects separately for each transition. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates of the hazard functions. Parameter estimates are obtained by maximum likelihood in the parametric approach and by penalized maximum likelihood in the semi-parametric approach.


SmoothHazard

Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models

This is an R-interface written by Celia Touraine and Thomas Alexander Gerds to a library of Fortran functions developed by Pierre Joly.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SmoothHazard")

2025.07.24 by Thomas Alexander Gerds, a year ago


Browse source code at https://github.com/cran/SmoothHazard


Authors: Celia Touraine [aut] , Thomas Alexander Gerds [aut, cre] , Pierre Joly [aut] (Author and maintainer of the Fortran code) , Cecile Proust-Lima [aut] (Author of the Fortran code) , Helene Jacqmin-Gadda [aut] (Author of the Fortran code) , Amadou Diakite [aut] (Author of the Fortran code) , W.D. Cody [aut] (Author of the Fortran code) , A.H. Morris [aut] (Author of the Fortran code) , B.W. Brown [aut] (Author of the Fortran code) , Robin Genuer [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports lava, mvtnorm

Depends on prodlim

Suggests testthat


Imported by LSJM.


See at CRAN