SmoothHazard is a package for fitting illness-death (and survival) model with possibly interval-censored data for transition toward transient state. Left-truncated and right-censored data are also allowed. Proportional intensities regression models allow for covariates on each of the 3 transitions. 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. Estimation of parameters is conducted by likelihood maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach.
|Author||Celia Touraine, Pierre Joly, Thomas A. Gerds|
|Date of publication||2014-09-19 00:58:57|
|Maintainer||Thomas Alexander Gerds <email@example.com>|
|License||GPL (>= 2)|
idm: Fit an illness-death model
idmModel: Generate illness-death model objects
lifexpect: Predictions of life expectancies from an illness-death.
Paq1000: Paquid data set
plot.idm: Plot method for an illness-death model
plot.shr: Plot method for a survival model.
predict.idm: Predictions for an illness-death model using either a...
print.idm: Print method for 'idm' objects
print.shr: Print method for 'shrSplines' objects
shr: Fit a survival model
sim.idmModel: Simulate illness-death model data
simulateIDM: Sample illness-death model data
summary.idm: Summary of a fitted illness-death model
summary.shr: Summary of a fitted survival model using a penalized...
testdata: Data set for survival models: right-censored and...