Difference of expected prognostic cross-entropy (EPOCE) estimators and its 95% tracking interval between two joint latent class models estimated with Jointlcmm
Longitudinal data on cognitive and physical aging in the elderly
Confidence intervals for the estimated link functions from lcmm
, Jointlcmm
and multlcmm
Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects.
Estimation of joint latent class models for longitudinal and time-to-event data
Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal)
Plot of a fitted model
Maximum likelihood estimates
Individual dynamic predictions from a joint latent class model
Marginal predictions (possibly class-specific) of a hlme
, lcmm
, multlcmm
or Jointlcmm
object in the natural scale of the longitudinal outcome(s) for a specified profile of covariates.
Summary of a hlme
, lcmm
, Jointlcmm
, multlcmm
, epoce
or Diffepoce
objects
Estimation of mutlivariate mixed-effect models and multivariate latent class mixed-effect models for multivariate longitudinal outcomes of possibly multiple types (continuous Gaussian, continuous non-Gaussian - curvilinear) that measure the same underlying latent process.
Variance-covariance of the estimates
Multivariate Wald Test
Percentage of variance explained by the (latent class) linear mixed model regression
Marginal predictions of the longitudinal outcome(s) in their
natural scale from lcmm
, Jointlcmm
or multlcmm
objects
Automatic grid search
Estimation of latent class linear mixed models
Predicted cumulative incidence of event according to a profile of covariates
Plots
For internal use only ...
Estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using Jointlcmm
Estimation of extended mixed models using latent classes and latent processes.
Simulated dataset for lcmm and Jointlcmm functions
Plot of individual dynamic predictions
Simulated dataset for hlme function
Plot of predicted trajectories and link functions
Brief summary of a hlme
, lcmm
, Jointlcmm
,multlcmm
, epoce
or Diffepoce
objects
Summary of models
Plot of predicted cumulative incidences according to a profile of covariates
Standard methods for estimated models
Class-specific marginal predictions in the latent process scale for
lcmm
, Jointlcmm
and multlcmm
objects
Posterior classification stemmed from a hlme
, lcmm
, multlcmm
or Jointlcmm
estimation