Package index • joineR

Package

Package-level documentation and object descriptions.

joineR: joineR
joint.object: Fitted joint object

Fitting joint models

Functions to fit and obtain inference for joint models.

joint(): Fit joint model for survival and longitudinal data measured with error
jointSE(): Standard errors via bootstrap for a joint model fit

Data preparation

Functions to create and manipulate jointdata objects.

jointdata(): Creates an object of class jointdata
UniqueVariables(): Extracts the unique non-time dependent variables per patient, from an unbalanced data set
sample.jointdata(): Sample from a jointdata x
subset(<jointdata>): Subsetting object of class jointdata
to.balanced(): Transform data to the longitudinal balanced format
to.unbalanced(): Transform data to the longitudinal unbalanced format

Visualisation

Plotting functions for longitudinal and joint data.

jointplot(): Joint plot of longitudinal and survival data
plot(<jointdata>): Plot longitudinal data
points(<jointdata>): Add points to an existing jointdata plot
lines(<jointdata>): Add lines to an existing jointdata plot
plot(<vargm>): Plots the empirical variogram for longitudinal data

Summaries

Summary and print methods.

summary(<joint>): Summarise a random effects joint model fit
summary(<jointdata>): Summarise a jointdata object
summarybal(): Summary of a balanced longitudinal data set
tidy(<joint>): Tidy a joint model fit
glance(<joint>): Glance at a joint model fit

Simulation and diagnostics

Functions to simulate joint model data and compute variograms.

simjoint(): Simulate data from a joint model
variogram(): Empirical variogram for longitudinal data

Data sets

heart.valve: Aortic valve replacement surgery data
epileptic: Dose calibration of anti-epileptic drugs data
liver: Liver cirrhosis drug trial data
mental: Mental health trial data
aids: AIDS drug trial data