tagteam/SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models
Version 1.4.1

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.

Getting started

Package details

AuthorCelia Touraine, Pierre Joly, Thomas A. Gerds
MaintainerThomas Alexander Gerds <[email protected]>
LicenseGPL (>= 2)
Version1.4.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("tagteam/SmoothHazard")
tagteam/SmoothHazard documentation built on July 9, 2017, 8:38 a.m.