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lcmm (version 1.5.6)

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

9,386

Version

1.5.6

License

GPL (>= 2.0)

Maintainer

Last Published

July 16th, 2012

Functions in lcmm (1.5.6)

ForInternalUse

For internal use only ...
plot.predict

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

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

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

Plots
postprob

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

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

Histograms of the posterior class-membership probabilities
lcmm

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

Computation of the difference of EPOCE estimators and its 95
hlme

Estimation of latent class linear mixed models
print.lcmm

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

Simulated dataset for lcmm and Jointlcmm functions
data_hlme

Simulated dataset for hlme function
Jointlcmm

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

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

Plots of marginal and subject-specific residuals
plot.survival

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

Predicted values of a lcmm object in the natural scale of the outcome for a specified profile of covariates.