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.

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Install

install.packages('SmoothHazard')

Monthly Downloads

274

Version

2025.07.24

License

GPL (>= 2)

Maintainer

Thomas Alexander Gerds

Last Published

July 24th, 2025

Functions in SmoothHazard (2025.07.24)

survIC

Generate survival model objects

summary.shr

Summary of a fitted survival model using a penalized likelihood approach

simulateIDM

Sample illness-death model data

summary.idm

Summary of a fitted illness-death model

sim.idmModel

Simulate illness-death model data

sim.survIC

Simulate interval censored survival data

idmModel

Generate illness-death model objects

intensity

M-spline estimate of the transition intensity function

print.shr

Print method for shrSplines objects

Paq1000

Paquid data set

plot.idm

Plot method for an illness-death model

plot.shr

Plot method for a survival model.

idm

Fit an illness-death model

predict.idm

Predictions for an illness-death model using either a penalized likelihood approach or a Weibull parametrization.

print.idm

Print method for idm objects

testdata

Data set for survival models: right-censored and interval-censored data.

shr

Fit a survival model