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SmoothHazard (version 1.0.9)

Fitting illness-death model for interval-censored data

Description

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.

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Version

Install

install.packages('SmoothHazard')

Monthly Downloads

214

Version

1.0.9

License

GPL (>= 2)

Maintainer

Thomas Alexander Gerds

Last Published

March 8th, 2013

Functions in SmoothHazard (1.0.9)

illness

Data set for illness-death models
lifexpect.idmWeib

Predictions of life expectancies from an illness-death model using a penalized likelihood approach.
print.shrPl

Print method for shrPl objects
lifexpect.idmPl

Predictions of life expectancies from an illness-death model using a penalized likelihood approach.
survival model

Fit a survival model
Paq1000

Paquid data set
surv2

Data set for survival models: left-truncated and right-censored data.
plot.idmPl

Plot method for an illness-death model using a penalized likelihood approach.
predict.idmPl

Predictions for an illness-death model using the penalized likelihood approach.
test

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

Print method for idmPl objects
summary.idmWeib

Summary of a fitted illness-death model using a Weibull approach
ForInternalUse

For internal use only ...
surv1

Data set for survival models: left-truncated, right-censored and interval-censored data
summary.shrPl

Summary of a fitted survival model using a penalized likelihood approach
print.idmWeib

Print method for idmWeib objects
plot.shr

Plot method for a survival model.
plot.idm

Plot method for an illness-death model.
summary.shrWeib

Summary of a fitted survival model using a Weibull approach
print.shrWeib

Print method for shrWeib objects
plot.shrPl

Plot method for a survival model using a penalized likelihood approach.
plot.idmWeib

Plot method for an illness-death model using a Weibull approach.
summary.idmPl

Summary of a fitted illness-death model using a penalized likelihood approach
illness-death model

Fit an illness-death model
plot.shrWeib

Plot Method for survival using a parametrical approach.
predict.idmWeib

Predictions for an illness-death model using the Weibull approach.