Diffepoce               Difference of expected prognostic cross-entropy
                        (EPOCE) estimators and its 95% tracking
                        interval between two joint latent class models
                        estimated with 'Jointlcmm'
ForInternalUse          For internal use only ...
ItemInfo                Conditional probabilities and item information
                        given specified latent process values for
                        'lcmm' or 'multlcmm' object with ordinal
                        outcomes.
Jointlcmm               Estimation of joint latent class models for
                        longitudinal and time-to-event data
StandardMethods         Standard methods for estimated models
VarCov                  Variance-covariance of the estimates
VarCovRE                Estimates, standard errors and Wald test for
                        the parameters of the variance-covariance
                        matrix of the random effects.
VarExpl                 Percentage of variance explained by the (latent
                        class) linear mixed model regression
WaldMult                Multivariate Wald Test
createVarianceMatrix    Compute the variance matrix
cuminc                  Predicted cumulative incidence of event
                        according to a profile of covariates
data_hlme               Simulated dataset for hlme function
data_lcmm               Simulated dataset for lcmm and Jointlcmm
                        functions
dynpred                 Individual dynamic predictions from a joint
                        latent class model
epoce                   Estimators of the Expected Prognostic Observed
                        Cross-Entropy (EPOCE) for evaluating predictive
                        accuracy of joint latent class models estimated
                        using 'Jointlcmm'
estimates               Maximum likelihood estimates
externVar               Estimation of a secondary regression model
                        after the estimation of a primary latent class
                        model
fitY                    Marginal predictions of the longitudinal
                        outcome(s) in their natural scale from 'lcmm',
                        'Jointlcmm' or 'multlcmm' objects
gridsearch              Automatic grid search
hlme                    Estimation of latent class linear mixed models
lcmm                    Estimation of mixed-effect models and latent
                        class mixed-effect models for different types
                        of outcomes (continuous Gaussian, continuous
                        non-Gaussian or ordinal)
lcmm-package            Estimation of extended mixed models using
                        latent classes and latent processes.
loglik                  Wrapper to the Fortran subroutines computing
                        the log-likelihood
mpjlcmm                 Estimation of multivariate joint latent class
                        mixed models
multlcmm                Estimation of multivariate mixed-effect models
                        and multivariate latent class mixed-effect
                        models for multivariate longitudinal outcomes
                        of possibly multiple types (continuous
                        Gaussian, continuous non-Gaussian/curvilinear,
                        ordinal) that measure the same underlying
                        latent process.
paquid                  Longitudinal data on cognitive and physical
                        aging in the elderly
permut                  Permutation of the latent classes
plot                    Plot of a fitted model
plot.Diffepoce          Plots
plot.ItemInfo           Plot of information functions
plot.cuminc             Plot of predicted cumulative incidences
                        according to a profile of covariates
plot.dynpred            Plot of individual dynamic predictions
plot.predict            Plot of predicted trajectories and link
                        functions
postprob                Posterior classification stemmed from a 'hlme',
                        'lcmm', 'multlcmm' or 'Jointlcmm' estimation
predictClass            Posterior classification and class-membership
                        probabilities
predictCor              Prediction of the Brownian motion or the
                        autoregressive correlation
predictL                Class-specific marginal or subject-specific
                        predictions in the latent process scale for
                        'lcmm', 'Jointlcmm' and 'multlcmm' objects
predictRE               Predictions of the random-effects
predictY                Predictions (marginal and possibly
                        subject-specific in some cases) of a 'hlme',
                        'lcmm', 'multlcmm' or 'Jointlcmm' object in the
                        natural scale of the longitudinal outcome(s)
                        computed from a profile of covariates.
predictYback            Marginal predictions in the natural scale of a
                        pre-transformed outcome
predictYcond            Conditional predictions of a 'lcmm', 'multlcmm'
                        or 'Jointlcmm' object in the natural scale of
                        the longitudinal outcome(s) for specified
                        latent process values.
predictlink             Confidence intervals for the estimated link
                        functions from 'lcmm', 'Jointlcmm' and
                        'multlcmm'
print.lcmm              Brief summary of a 'hlme', 'lcmm',
                        'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce'
                        objects
sampleParameters        Sample models parameters
simdataHADS             Simulated dataset simdataHADS
simulate.lcmm           Data simulation according to models from lcmm
                        package
summary.lcmm            Summary of a 'hlme', 'lcmm', 'Jointlcmm',
                        'multlcmm', 'mpjlcmm', 'externSurv', 'externX'
                        'epoce' or 'Diffepoce' objects
summaryplot             Summary of models
summarytable            Summary of models
update.mpjlcmm          Update the longitudinal submodels
xclass                  Cross classifications
