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

211

Version

2024.04.10

License

GPL (>= 2)

Maintainer

Thomas Alexander Gerds

Last Published

April 10th, 2024

Functions in SmoothHazard (2024.04.10)

sim.survIC

Simulate interval censored survival data

sim.idmModel

Simulate illness-death model data

shr

Fit a survival model

intensity

M-spline estimate of the transition intensity function

idmModel

Generate illness-death model objects

plot.idm

Plot method for an illness-death model

predict.idm

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

idm

Fit an illness-death model

simulateIDM

Sample illness-death model data

print.shr

Print method for shrSplines objects

Paq1000

Paquid data set

plot.shr

Plot method for a survival model.

summary.shr

Summary of a fitted survival model using a penalized likelihood approach

survIC

Generate survival model objects

testdata

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

summary.idm

Summary of a fitted illness-death model

print.idm

Print method for idm objects