Latent Markov (LM) models represent an important tool of analysis of longitudinal data. We illustrate the main functions of the R package LMest that is tailored to fit the basic LM model, and some of its extended formulations, on longitudinal categorical data. The illustration is based on empirical analyses of datasets from a socio-economic perspective.
Bartolucci, F., Pandolfi, S., Pennoni, F. (2017). Package LMest for latent Markov analysis of longitudinal categorical data. In Book of Short Papers CLADAG2017 (pp.1-6).
Package LMest for latent Markov analysis of longitudinal categorical data
PENNONI, FULVIA
2017
Abstract
Latent Markov (LM) models represent an important tool of analysis of longitudinal data. We illustrate the main functions of the R package LMest that is tailored to fit the basic LM model, and some of its extended formulations, on longitudinal categorical data. The illustration is based on empirical analyses of datasets from a socio-economic perspective.
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