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lcmm (version 1.4-1)

Estimation of various latent class mixed models and joint latent class mixed models

Description

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

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Version

Install

install.packages('lcmm')

Monthly Downloads

2,830

Version

1.4-1

License

GPL (>= 2.0)

Maintainer

Last Published

July 7th, 2011

Functions in lcmm (1.4-1)

postprob

Posterior classification stemmed from a hlme, lcmm or Jointlcmm estimation

lcmm

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

plot.linkfunction

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

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

plot.survival

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

plot.lcmm

Plots of marginal and subject-specific residuals

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.

ForInternalUse

For internal use only ...

plot.predict

Plot of class-specific marginal predictions for the longitudinal outcome

summary.lcmm

Summary of a hlme, lcmm or Jointlcmm object

print.lcmm

Short summary of a hlme, lcmm or Jointlcmm object

hlme

Estimation of latent class linear mixed models

Jointlcmm

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

data_Jointlcmm

Simulated dataset for lcmm and Jointlcmm functions