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joineR (version 1.0-2)
Joint modelling of repeated measurements and time-to-event data
Description
Analysis of repeated measurements and time-to-event data via random effects joint models. Some plotting functions and the variogram are also included.
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Install
install.packages('joineR')
Monthly Downloads
778
Version
1.0-2
License
Unlimited
Maintainer
Pete Philipson
Last Published
June 5th, 2012
Functions in joineR (1.0-2)
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joint
Fit joint model for survival and longitudinal data measured with error
variogram
Empirical variogram for longitudinal data
jointplot
Joint plot of longitudinal and survival data
to.balanced
Transform data to the longitudinal balanced format
jointdata
Creates an object of class 'jointdata'
heart.valve
Heart Valve surgery
points.jointdata
Add points to an existing jointdata plot
to.unbalanced
Transform data to the longitudinal unbalanced format
UniqueVariables
Extracts the unique non-time dependent variables per patient, from an unbalanced data set
jointSE
Standard errors via bootstrap for a joint model fit
plot.jointdata
Plot longitudinal data
summary.joint
Summarise a random effects joint model fit
sample.jointdata
Sample from a jointdata object
summary.jointdata
Summarise a jointdata object
liver
Liver cirrhosis longitudinal data
mental
Mental Health Trial Data
subset.jointdata
Subsetting object of class 'jointdata'
epileptic
Dose calibration of anti-epileptic drugs
plot.vargm
Plots the empirical variogram for longitudinal data
lines.jointdata
Add lines to an existing jointdata plot