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lcmm (version 1.6.4)

Estimation of extended mixed models using latent classes and latent processes

Description

This package provides functions for the estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

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Version

Install

install.packages('lcmm')

Monthly Downloads

6,659

Version

1.6.4

License

GPL (>= 2.0)

Maintainer

Last Published

April 11th, 2014

Functions in lcmm (1.6.4)

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
plot.postprob

Histograms of the posterior class-membership probabilities
plot.predict

Plot of class-specific marginal predictions for the longitudinal outcome
summary.lcmm

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

Plot of the estimated transformation between the outcome and the underlying latent process
WaldMult

Multivariate Wald Test
predictY

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.
data_hlme

Simulated dataset for hlme function
VarCov

Variance-covariance of the estimates
estimates

Estimates
hlme

Estimation of latent class linear mixed models
plot.baselinerisk

Plot of the class-specific baseline risk functions estimated from a joint latent class mixed model.
ForInternalUse

For internal use only ...
lcmm

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

Plots
data_Jointlcmm

Simulated dataset for lcmm and Jointlcmm functions
plot.survival

Plot of the class-specific event-free probabilities (survival functions) estimated from a joint latent class mixed model
postprob

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

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
epoce

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

Class-specific marginal predictions in the latent process scale for lcmm and multlcmm objects
plot.lcmm

Plots of marginal and subject-specific residuals
dynpred

Computation of individual dynamic predictions from a joint latent class model
lcmm-package

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

Confidence intervals for the estimated link functions from lcmm and multlcmm
plot.dynpred

Plot of individual dynamic predictions
print.lcmm

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

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

Longitudinal data on cognitive and physical aging in the elderly