MCcov-class | R Documentation |
'MCcov'
An S3 class object created by lmestMc
function for Markov chain (MC) model for categorical responses in long format with covariates.
lk |
maximum log-likelihood |
Be |
estimated array of the parameters affecting the logit for the initial probabilities |
Ga |
estimated array of the parameters affecting the logit for the transition probabilities |
np |
number of free parameters |
aic |
value of the Akaike Information Criterion (AIC) for model selection |
bic |
value of the Bayesian Information Criterion (BIC) for model selection |
n |
number of observations in the data |
TT |
number of time occasions |
seBe |
standard errors for |
seGa |
standard errors for |
Piv |
estimate of initial probability matrix |
PI |
estimate of transition probability matrices |
call |
command used to call the function |
data |
data frame given in input |
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
lmestMc
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