'LMlatentcont'An S3 class object created by lmestCont for the Latent Markov (LM) model for continuous responses in long format with covariates in the latent model.
maximum log-likelihood
estimated array of the parameters affecting the logit for the initial probabilities
estimated array of the parameters affecting the logit for the transition probabilities
estimate of conditional means of the response variables
estimate of var-cov matrix common to all states
number of free parameters
optimal number of latent states
value of the Akaike Information Criterion for model selection
value of the Bayesian Information Criterion for model selection
log-likelihood trace at every step
number of observations in the data
number of time occasions
type of parametrization for the transition probabilities ("multilogit" = standard multinomial logit for every row of the transition matrix, "difflogit" = multinomial logit based on the difference between two sets of parameters)
standard errors for the conditional means
standard errors for the var-cov matrix
standard errors for Be
standard errors for Ga
score vector
information matrix
estimate of transition probability matrices
estimate of initial probability matrix
vector containing the values of the log-likelihood of the LM model with each k (latent states)
vector containing the values of the BIC of the LM model with each k (latent states)
vector containing the values of the AIC of the LM model with each k (latent states)
array containing the posterior distribution of the latent states for each units and time occasion
matrix containing the predicted sequence of latent states by the local decoding method
matrix containing the marginal distribution of the latent states
command used to call the function
data frame given in input
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
lmestCont