Description Value Author(s) See Also
An object returned by the jointModel
function, inheriting from class jointModel
and representing a fitted
joint model for longitudinal and timetoevent data. Objects of this class have methods for the generic functions
anova
, coef
, fitted
, fixed.effects
, logLik
, plot
, print
,
random.effects
, residuals
, summary
, and vcov
.
The following components must be included in a legitimate jointModel
object.
coefficients 
a list with the estimated coefficients. The components of this list are:

Hessian 
the Hessian matrix evaluated at the estimated parameter values. 
logLik 
the loglikelihood value. 
EB 
a list with components:

knots 
the numeric vector of the knots positions; returned only when 
iters 
the number of iterations in the optimization algorithm. 
convergence 
convergence identifier: 0 corresponds to successful convergence, whereas 1 to a problem (i.e., when 1, usually more iterations are required). 
n 
the number of sample units. 
N 
the total number of repeated measurements for the longitudinal outcome. 
ni 
a vector with the number of repeated measurements for each sample unit. 
d 
a numeric vector with 0 denoting censored observation and 1 events. 
id 
the grouping vector for the longitudinal responses. 
x 
a list with the design matrices for the longitudinal and event processes. 
y 
a list with the response vectors for the longitudinal and event processes. 
data.id 
a 
method 
the value of the 
termsY 
the 
termsT 
the 
formYx 
the formula for the fixed effects part of the longitudinal model. 
formYz 
the formula for the random effects part of the longitudinal model. 
formT 
the formula for the survival model. 
timeVar 
the value of the 
control 
the value of the 
parameterization 
the value of the 
interFact 
the value of the 
derivForm 
the value of the 
lag 
the value of the 
call 
the matched call. 
Dimitris Rizopoulos [email protected]
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