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lcmm (version 1.7.3.0)

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

Description

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.

Usage

cuminc(x, time, draws = FALSE, ndraws = 2000, ...)

Arguments

x
an object inheriting from class Jointlcmm
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 po
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.

Value

  • 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.

See Also

Jointlcmm,plot.Jointlcmm,plot.cuminc