JointModel: Semiparametric Joint Models for Longitudinal and Counting Processes

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Joint fit of a semiparametric regression model for longitudinal responses and a semiparametric transformation model for time-to-event data.

Author
Sehee Kim <seheek@umich.edu>
Date of publication
2016-06-09 05:49:19
Maintainer
Sehee Kim <seheek@umich.edu>
License
GPL-3
Version
1.0

View on CRAN

Man pages

dropout
Prostate Cancer Data: Part 2 - a simulated example of study...
jplm
Joint Partially Linear Model for Longitudinal and...
pred.jplm.cumhaz
Predict the baseline cumulative hazard function at any given...
pred.jplm.nonlinear
Predict a smoothed nonlinear effect on the longitudinal...
prostate
Prostate Cancer Data: Part 1 - a simulated example of...

Files in this package

JointModel
JointModel/NAMESPACE
JointModel/data
JointModel/data/dropout.rda
JointModel/data/datalist
JointModel/data/prostate.rda
JointModel/R
JointModel/R/summary.jplm.R
JointModel/R/pred.jplm.cumhaz.R
JointModel/R/pred.jplm.nonlinear.R
JointModel/R/GetLogLik.R
JointModel/R/jplm.R
JointModel/R/covest.R
JointModel/R/em.R
JointModel/R/basis.R
JointModel/MD5
JointModel/DESCRIPTION
JointModel/man
JointModel/man/prostate.Rd
JointModel/man/jplm.Rd
JointModel/man/pred.jplm.cumhaz.Rd
JointModel/man/dropout.Rd
JointModel/man/pred.jplm.nonlinear.Rd