20 citations · 31 across the 2 of their papers we have counts for
2 papers
stat.CO2015★ 11 cited
LMest: an R package for latent Markov models for categorical longitudinal data
Francesco Bartolucci, Alessio Farcomeni, Silvia Pandolfi +1
Latent Markov (LM) models represent an important class of models for the analysis of longitudinal data (Bartolucci et. al., 2013), especially when response variables are categorica…
math.ST2010★ 20 cited
An overview of latent Markov models for longitudinal categorical data
F. Bartolucci, A. Farcomeni, F. Pennoni
We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal categorical data. The main assumption behind these models is that the response var…