'LMmixed'An S3 class object created by lmestMixed for the mixed latent Markov (LM) models for categorical data in long format.
estimate of the mass probability vector (distribution of the random effects)
estimate of initial probabilities
estimate of transition probability matrices
estimate of conditional response probabilities
maximum log-likelihood
posterior probabilities of the random effect
number of free parameters
number of support points (latent classes) of the latent variable defining the unobserved clusters
number of support points (latent states) of the latent variable defining the first-order Markov process
value of the Akaike Information Criterion for model selection
value of the Akaike Information Criterion for model selection
number of observations in the data
number of time occasions
standard errors for la
estimate of initial probability matrix
standard errors for the transition probabilities
standard errors for the conditional response matrix
command used to call the function
the input data
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
lmestMixed