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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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Version

Install

install.packages('joineR')

Monthly Downloads

1,962

Version

1.0-3

License

Unlimited

Maintainer

Pete Philipson

Last Published

October 26th, 2012

Functions in joineR (1.0-3)

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