SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models

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.

Version: 2022.08.23
Depends: R (≥ 1.9.1), prodlim (≥ 1.4.9)
Imports: lava (≥ 1.4.1), mvtnorm (≥ 1.0-3)
Published: 2022-08-24
Author: Celia Touraine, Pierre Joly, Thomas A. Gerds
Maintainer: Thomas Alexander Gerds <tag at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: SmoothHazard citation info
Materials: README
In views: Survival
CRAN checks: SmoothHazard results


Reference manual: SmoothHazard.pdf


Package source: SmoothHazard_2022.08.23.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SmoothHazard_2022.08.23.tgz, r-oldrel (arm64): SmoothHazard_2022.08.23.tgz, r-release (x86_64): SmoothHazard_2022.08.23.tgz, r-oldrel (x86_64): SmoothHazard_2022.08.23.tgz
Old sources: SmoothHazard archive


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