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JointModel (version 1.0)
Semiparametric Joint Models for Longitudinal and Counting Processes
Description
Joint fit of a semiparametric regression model for longitudinal responses and a semiparametric transformation model for time-to-event data.
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Version
Version
1.0
Install
install.packages('JointModel')
Monthly Downloads
19
Version
1.0
License
GPL-3
Maintainer
Sehee Kim
Last Published
June 9th, 2016
Functions in JointModel (1.0)
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prostate
Prostate Cancer Data: Part 1 - a simulated example of longitudinal responses
pred.jplm.cumhaz
Predict the baseline cumulative hazard function at any given time point
pred.jplm.nonlinear
Predict a smoothed nonlinear effect on the longitudinal response
jplm
Joint Partially Linear Model for Longitudinal and Time-to-Event Data
dropout
Prostate Cancer Data: Part 2 - a simulated example of study drop-out process