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lcmm (version 1.5.1)

Estimation of various 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

6,659

Version

1.5.1

License

GPL (>= 2.0)

Maintainer

Last Published

April 13th, 2012

Functions in lcmm (1.5.1)

Jointlcmm

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

Simulated dataset for hlme function
lcmm-package

Estimation of Latent Class Mixed Models and Joint Latent Class Mixed Models for quantitative, bounded quantitative, discrete and ordinal longitudinal outcomes and a right-censored left-truncated time-to-event.
hlme

Estimation of latent class linear mixed models
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
Diffepoce

Computation of the difference of EPOCE estimators and its 95
ForInternalUse

For internal use only ...
epoce

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

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

Plot of class-specific marginal predictions for the longitudinal outcome
postprob

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

Histograms of the posterior class-membership probabilities
plot.baselinerisk

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

Plots
print.lcmm

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

Plots of marginal and subject-specific residuals
summary.lcmm

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

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