LMmixed-class: Class "LMmixed"

In LMest: Generalized Latent Markov Models

Class 'LMmixed'

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 Aug. 27, 2023, 5:06 p.m.