Simulated dataset for hlme function
Plot of individual dynamic predictions
Histograms of the posterior class-membership probabilities
Computation of individual dynamic predictions from a joint latent class model
Simulated dataset for lcmm and Jointlcmm functions
Variance-covariance of the estimates
Plot of the class-specific baseline risk functions estimated from a joint latent class mixed model.
Brief summary of a hlme
, lcmm
, Jointlcmm
,multlcmm
, epoce
or Diffepoce
objects
Confidence intervals for the estimated link functions from lcmm
and multlcmm
Plot of the estimated transformation between the outcome and the underlying latent process
Estimation of joint latent class models for longitudinal and time-to-event data
Plots of marginal and subject-specific residuals
Multivariate Wald Test
Posterior classification stemmed from a hlme
, lcmm
, multlcmm
or Jointlcmm
estimation
Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal)
Estimates
For internal use only ...
Computation of estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using Jointlcmm
Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects.
Plot of class-specific marginal predictions for the longitudinal outcome
Summary of a hlme
, lcmm
, Jointlcmm
, multlcmm
, epoce
or Diffepoce
objects
Estimation of extended mixed models using latent classes and latent processes.
Computation of the difference of expected prognostic cross-entropy (EPOCE) estimators and its 95% tracking interval between two joint latent class models estimated with Jointlcmm
Plots
Longitudinal data on cognitive and physical aging in the elderly
Plot of the class-specific event-free probabilities (survival functions) estimated from a joint latent class mixed model
Class-specific marginal predictions in the latent process scale for lcmm
and multlcmm
objects
Estimation of latent class linear mixed models
Percentage of variance explained by the (latent class) linear mixed model regression
Predicted values of a hlme
, lcmm
, multlcmm
or Jointlcmm
object in the natural scale of the longitudinal outcome(s) for a specified profile of covariates.