Estimation of Smooth Hazard Models for Interval-Censored Data R package SmoothHazard version 2025.07.24 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. Software Depends: R (>= 1.9.1), prodlim (>= 1.4.9) Imports: lava (>= 1.4.1), mvtnorm (>= 1.0-3) Suggests: testthat (>= 3.0.0) Thomas Alexander Gerds <tag@biostat.ku.dk> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2025-07-24 application/tgz https://CRAN.R-project.org/package=SmoothHazard doi:10.32614/CRAN.package.SmoothHazard