LMmixed-class: Class "LMmixed"

Description Value Author(s) See Also

Description

An S3 class object created by lmestMixed for the mixed latent Markov (LM) models for categorical data in long format.

Value

la

estimate of the mass probability vector (distribution of the random effects)

Piv

estimate of initial probabilities

Pi

estimate of transition probability matrices

Psi

estimate of conditional response probabilities

lk

maximum log-likelihood

W

posterior probabilities of the random effect

np

number of free parameters

k1

number of support points (latent classes) of the latent variable defining the unobserved clusters

k2

number of support points (latent states) of the latent variable defining the first-order Markov process

bic

value of the Akaike Information Criterion for model selection

aic

value of the Akaike Information Criterion for model selection

n

number of observations in the data

TT

number of time occasions

sela

standard errors for la

sePiv

estimate of initial probability matrix

sePi

standard errors for the transition probabilities

sePsi

standard errors for the conditional response matrix

call

command used to call the function

data

the input data

Author(s)

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

See Also

lmestMixed


LMest documentation built on Oct. 10, 2021, 1:09 a.m.