cuminc


an object inheriting from class <code>Jointlcmm</code>



a vector of times at which the cumulative incidence is calculated


time


  optional boolean specifying whether a Monte Carlo approximation of the posterior distribution of the cumulative incidence is computed and the median, 2.5% and 97.5% percentiles are given. Otherwise, the predicted cumulative incidence is computed at the point estimate. By default, draws=FALSE.


draws


if draws=TRUE, ndraws specifies the number of draws that should be generated to approximate the posterior distribution of the predicted cumulative incidence. By default, ndraws=2000.


ndraws


further arguments, in particular values of the covariates specified in
  the survival part of the joint model. 



This function computes the predicted cumulative incidence of each cause of event according to a profile of covariates from a joint latent class model. Confidence bands can be computed by a Monte-Carlo method.


Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

cuminc: Predicted cumulative incidence of event according to a profile of covariates

Description

Usage

Arguments

Value

See Also