'MCbasic'An S3 class object created by lmestMc function for the Markov chain (MC) model without covariates.
maximum log-likelihood
estimate of initial probability vector
estimate of transition probability matrices
number of free parameters
value of the Akaike Information Criterion for model selection
value of the Bayesian Information Criterion for model selection
estimated marginal distribution of the response variable ats each time occasion
number of observations in the data
number of time occasions
model on the transition probabilities: default 0 for time-heterogeneous transition matrices, 1 for time-homogeneous transition matrices, 2 for partial time homogeneity based on two transition matrices one from 2 to (TT-1) and the other for TT
standard errors for the initial probabilities
standard errors for the transition probabilities
command used to call the function
data frame given in input
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
lmestMc