MCcov-class {LMest}

Class 'MCcov'

Description

An S3 class object created by lmestMc function for Markov chain (MC) model for categorical responses in long format with covariates.

Value

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 Be

seGa

standard errors for Ga

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

Author(s)

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini

See Also

lmestMc