jointModelObject: Fitted jointModel Object
Description
An object returned by the jointModel function, inheriting from class jointModel and representing a fitted
joint model for longitudinal and time-to-event 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.Value
- The following components must be included in a legitimate
jointModel object. - coefficientsa list with the estimated coefficients. The components of this list are:
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
- Hessianthe Hessian matrix evaluated at the estimated parameter values.
- logLikthe log-likelihood value.
- EBa list with components:
[object Object],[object Object],[object Object],[object Object],[object Object]
- knotsthe numeric vector of the knots positions for the log times used in the B-splines approximation of the
log cumulative baseline hazard; returned only when
method = "ch-GH" or method = "ch-Laplace". - itersthe number of iterations in the optimization algorithm.
- convergenceconvergence identifier: 0 corresponds to successful convergence, whereas 1 to a problem
(i.e., when 1, usually more iterations are required).
- nthe number of sample units.
- Nthe total number of repeated measurements for the longitudinal outcome.
- nia vector with the number of repeated measurements for each sample unit.
- da numeric vector with 0 denoting censored observation and 1 events.
- idthe grouping vector for the longitudinal responses.
- xa list with the design matrices for the longitudinal and event processes.
- ya list with the response vectors for the longitudinal and event processes.
- data.ida
data.frame containing the variables for the linear mixed effects model at the time of the
event. - methodthe value of the
method argument. - termsYthe
terms component of the lmeObject. - termsTthe
terms component of the survObject. - formYxthe formula for the fixed effects part of the longitudinal model.
- formYzthe formula for the random effects part of the longitudinal model.
- formTthe formula for the survival model.
- timeVarthe value of the
timeVar argument - controlthe value of the
control argument. - callthe matched call.