MCbasic-class {LMest}

Class 'MCbasic'

Description

An S3 class object created by lmestMc function for the Markov chain (MC) model without covariates.

Value

lk

maximum log-likelihood

piv

estimate of initial probability vector

Pi

estimate of transition probability matrices

np

number of free parameters

aic

value of the Akaike Information Criterion for model selection

bic

value of the Bayesian Information Criterion for model selection

Fy

estimated marginal distribution of the response variable ats each time occasion

n

number of observations in the data

TT

number of time occasions

modBasic

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

sepiv

standard errors for the initial probabilities

sePi

standard errors for the transition probabilities

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