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lcmm (version 1.6.2)

Estimation of latent class mixed models, joint latent class mixed models and mixed models for curvilinear outcomes

Description

This package provides functions for the estimation of various latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear outcomes using a maximum likelihood method

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Version

Install

install.packages('lcmm')

Monthly Downloads

2,830

Version

1.6.2

License

GPL (>= 2.0)

Maintainer

Last Published

March 7th, 2013

Functions in lcmm (1.6.2)

Diffepoce

Computation of the difference of EPOCE estimators and its 95% tracking interval between two joint latent class models estimated using Jointlcmm
plot.predict

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

Plots of marginal and subject-specific residuals
Jointlcmm

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

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

Plot of the estimated transformation between the outcome and the underlying latent process
plot.postprob

Histograms of the posterior class-membership probabilities
data_hlme

Simulated dataset for hlme function
lcmm-package

Estimation of Mixed Models, Latent Class Mixed Models and Joint Latent Class Mixed Models for different types of outcomes (quantitative, bounded, curvilinear and ordinal outcomes).
ForInternalUse

For internal use only ...
print.lcmm

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

Posterior classification stemmed from a hlme, lcmm or Jointlcmm estimation
plot.pred.accuracy

Plots
epoce

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

Estimation of latent class linear mixed models
predictY

Predicted values of a hlme, lcmm, multlcmm or Jointlcmm object in the natural scale of the longitudinal outcome for a specified profile of covariates.
predictL

Class-specific marginal predictions in the latent process scale for lcmm objects
data_Jointlcmm

Simulated dataset for lcmm and Jointlcmm functions
summary.lcmm

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

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