| jmodelTMObject {JSM} | R Documentation |
Fitted jmodelTM Object
Description
An object returned by the jmodelTM function, inheriting from class jmodelTM 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.
Value
The following components must be included in a legitimate jmodelTM object.
coefficients |
a list with the estimated parameters. The list is consist of the following components: |
- beta
the vector of estimated coefficients for the fixed effects in the linear mixed-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 |
numIter |
the number of iterations used in the EM algorithm. |
convergence |
the convergence indicator: if |
control |
the value of the |
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. |
Author(s)
Cong Xu helenxu1112@gmail.com Pantelis Z. Hadjipantelis pantelis@ucdavis.edu