'LMmanifestcont'An S3 class object created by lmestCont for Latent Markov (LM) model for continuous responses in long format with covariates in the measurement model.
support points for the latent states
estimate of the vector of regression parameters
estimate of var-cov matrix common to all states
vector of initial probabilities
transition matrix
maximum log-likelihood
number of parameters
optimal number of latent states
value of the Akaike Information Criterion
value of Bayesian Information Criterion
number of observations in the data
number of time occasions
model on the transition probabilities (0 for time-heter., 1 for time-homog., from 2 to (TT-1) partial homog. of that order)
log-likelihood trace at every step
standard errors for the support points Al
standard errors regression parameters Be
standard errors for the initial probabilities
standard errors for the transition probabilities
standard errors for the var-cov matrix
vector containing the values of the log-likelihood of the LM model for each k (latent states)
vector containing the number of parameters for each k (latent states)
vector containing the values of the BIC for each k
vector containing the values of the AIC for each k
information matrix
score vector
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
lmestCont