Plot of a fitted model
Plot of predicted cumulative incidences according to a profile of covariates
Plot of predicted trajectories and link functions
Longitudinal data on cognitive and physical aging in the elderly
Estimates
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.
Multivariate Wald Test
Marginal predictions of the longitudinal outcome(s) in their
natural scale from lcmm
, Jointlcmm
or multlcmm
objects
Estimation of extended mixed models using latent classes and latent processes.
Summary of a hlme
, lcmm
, Jointlcmm
, multlcmm
, epoce
or Diffepoce
objects
Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal)
For internal use only ...
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
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.
Simulated dataset for lcmm and Jointlcmm functions
Computation of individual dynamic predictions from a joint latent class model
Plots
Brief summary of a hlme
, lcmm
, Jointlcmm
,multlcmm
, epoce
or Diffepoce
objects
Summary of models
Predicted cumulative incidence of event according to a profile of covariates
Computation of estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using Jointlcmm
Plot of individual dynamic predictions
Variance-covariance of the estimates
Simulated dataset for hlme function
Class-specific marginal predictions in the latent process scale for
lcmm
, Jointlcmm
and multlcmm
objects
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
Percentage of variance explained by the (latent class) linear mixed model regression
Estimation of latent class linear mixed models
Posterior classification stemmed from a hlme
, lcmm
, multlcmm
or Jointlcmm
estimation
Confidence intervals for the estimated link functions from lcmm
, Jointlcmm
and multlcmm