MCbasic-class: Class "MCbasic"

In LMest: Generalized Latent Markov Models

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

LMest documentation built on Aug. 27, 2023, 5:06 p.m.