Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.2.8) of this package.
Take me there.
joineR (version 1.0-1)
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.
Copy Link
Link to current version
Version
Version
1.2.8
1.2.7
1.2.6
1.2.5
1.2.4
1.2.3
1.2.2
1.2.1
1.2.0
1.1.0
1.0-3
1.0-2
1.0-1
Install
install.packages('joineR')
Monthly Downloads
1,962
Version
1.0-1
License
Unlimited
Maintainer
Pete Philipson
Last Published
March 30th, 2012
Functions in joineR (1.0-1)
Search all functions
lines.jointdata
Add lines to an existing jointdata plot
liver
Liver cirrhosis longitudinal data
plot.jointdata
Plot longitudinal data
points.jointdata
Add points to an existing jointdata plot
heart.valve
Heart Valve surgery
sample.jointdata
Sample from a jointdata object
to.balanced
Transform data to the longitudinal balanced format
plot.vargm
Plots the empirical variogram for longitudinal data
summary.jointdata
Summarise a jointdata object
jointSE
Standard errors via bootstrap for a joint model fit
jointplot
Joint plot of longitudinal and survival data
jointdata
Creates an object of class 'jointdata'
summary.joint
Summarise a random effects joint model fit
variogram
Empirical variogram for longitudinal data
joint
Fit joint model for survival and longitudinal data measured with error
subset.jointdata
Subsetting object of class 'jointdata'
UniqueVariables
Extracts the unique non-time dependent variables per patient, from an unbalanced data set
to.unbalanced
Transform data to the longitudinal unbalanced format
mental
Mental Health Trial Data
epileptic
Dose calibration of anti-epileptic drugs