Description Usage Arguments Value Author(s) See Also
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.
1 |
x |
an object inheriting from class |
time |
a vector of times at which the cumulative incidence is calculated |
draws |
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. |
ndraws |
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. |
... |
further arguments, in particular values of the covariates specified in the survival part of the joint model. |
An object of class cuminc
containing as many matrices as profiles defined by the covariates
values. Each of these matrices contains the event-specific cumulative incidences in
each latent class at the different times specified.
Viviane Philipps and Cecile Proust-Lima
Jointlcmm
,plot.Jointlcmm
,plot.cuminc
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