lcmm

Difference of expected prognostic cross-entropy (EPOCE) estimators and its 95% tracking interval between two joint latent class models estimated with Jointlcmm

For internal use only ...

Estimation of joint latent class models for longitudinal and time-to-event data

Standard methods for estimated models

Variance-covariance of the estimates

Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects.

Percentage of variance explained by the (latent class) linear mixed model regression

Multivariate Wald Test

Predicted cumulative incidence of event according to a profile of covariates

Simulated dataset for hlme function

Simulated dataset for lcmm and Jointlcmm functions

Individual dynamic predictions from a joint latent class model

Estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using Jointlcmm

Maximum likelihood estimates

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

Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal)

Estimation of extended mixed models using latent classes and latent processes.

Estimation of multi-process joint latent class mixed models

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.

Longitudinal data on cognitive and physical aging in the elderly

Permutation of the latent classes

Plot of a fitted model

Plot of predicted cumulative incidences according to a profile of covariates

Plot of individual dynamic predictions

Plots

Plot of predicted trajectories and link functions

Posterior classification stemmed from a hlme, lcmm, multlcmm or Jointlcmm estimation

Class-specific marginal predictions in the latent process scale for lcmm, Jointlcmm and multlcmm objects

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.

Conditional predictions of a lcmm, multlcmm or Jointlcmm object in the natural scale of the longitudinal outcome(s) for specified latent process values.

Confidence intervals for the estimated link functions from lcmm, Jointlcmm and multlcmm

Brief summary of a hlme, lcmm, Jointlcmm,multlcmm, epoce or Diffepoce objects

Summary of a hlme, lcmm, Jointlcmm, multlcmm, epoce or Diffepoce objects

Summary of models

Cross classifications