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joineR (version 1.0-3)
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
1.0-3
License
Unlimited
Maintainer
Pete Philipson
Last Published
October 26th, 2012
Functions in joineR (1.0-3)
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epileptic
Dose calibration of anti-epileptic drugs
heart.valve
Heart Valve surgery
sample.jointdata
Sample from a jointdata object
jointplot
Joint plot of longitudinal and survival data
jointdata
Creates an object of class 'jointdata'
plot.jointdata
Plot longitudinal data
jointSE
Standard errors via bootstrap for a joint model fit
subset.jointdata
Subsetting object of class 'jointdata'
joint
Fit joint model for survival and longitudinal data measured with error
liver
Liver cirrhosis longitudinal data
UniqueVariables
Extracts the unique non-time dependent variables per patient, from an unbalanced data set
mental
Mental Health Trial Data
summarybal
Summary of a balanced longitudinal data set
points.jointdata
Add points to an existing jointdata plot
plot.vargm
Plots the empirical variogram for longitudinal data
to.unbalanced
Transform data to the longitudinal unbalanced format
lines.jointdata
Add lines to an existing jointdata plot
summary.jointdata
Summarise a jointdata object
summary.joint
Summarise a random effects joint model fit
to.balanced
Transform data to the longitudinal balanced format
variogram
Empirical variogram for longitudinal data