jmodelMultOjbect: Fitted jmodelMult Object
In JSM: Semiparametric Joint Modeling of Survival and Longitudinal Data

Description Value Author(s) See Also

An object returned by the jmodelMult function, inheriting from class jmodelMult and representing a fitted joint model for survival and longitudinal data. Objects of this class have methods for the generic functions AIC, BIC, logLik, print, summary, and vcov.

The following components must be included in a legitimate jmodelMult object.

coefficients

a list with the estimated parameters. The list is consist of the following components:

gamma: the vector of estimated coefficients for the B-spline basis functions in the nonparametric multiplicative random effects model.
phi: the vector of estimated coefficients for the covariates other than the covariate associated with the longitudinal process in the survival model.
alpha: the estimated coefficient for the covariate associated with the longitudinal process in the survival model.
Ysigma: the estimated measurement error standard deviation for the linear mixed-effects model.
Bsigma: the estimated variance-covariance matrix of the random effects.
lamb: a numeric matrix with two columns: the first column contains the unique observed survival times in ascending order; the second column contains the corresponding estimated baseline hazard values.

`Vcov`	the variance-covariance matrix evaluated at the estimated parameter values.
`logLik`	the log-likelihood (the joint likelihood) value.
`est.bi`	the estimated values for the random effects
`call`	a list containing an image of the `jmodelTM` call that produced the object.
`numIter`	the number of iterations used in the EM algorithm.
`convergence`	the convergence indicator: if `"failure"`, usually more iterations are required.
`control`	the value of the `control` argument passed to `jmodelTM`.
`time.SE`	the CPU time used to compute the standard error estimates, i.e. the time use to compute the variance-covariance matrix for the parameter estimates.
`N`	the total number of repeated measurements for the longitudinal outcome.
`n`	the number of sample units.
`d`	the censoring indicator: 0 denotes censored survival time; 1 denotes observed survival time.
`rho`	the transformation parameter used for the survival model.