LMmanifestcont-class: Class "LMmanifestcont"

In LMest: Generalized Latent Markov Models

Class 'LMmanifestcont'

Description

An S3 class object created by lmestCont for Latent Markov (LM) model for continuous responses in long format with covariates in the measurement model.

Value

Al	support points for the latent states
Be	estimate of the vector of regression parameters
Si	estimate of var-cov matrix common to all states
piv	vector of initial probabilities
Pi	transition matrix
lk	maximum log-likelihood
np	number of parameters
k	optimal number of latent states
aic	value of the Akaike Information Criterion
bic	value of Bayesian Information Criterion
n	number of observations in the data
TT	number of time occasions
modBasic	model on the transition probabilities (0 for time-heter., 1 for time-homog., from 2 to (TT-1) partial homog. of that order)
lkv	log-likelihood trace at every step
seAl	standard errors for the support points Al
seBe	standard errors regression parameters Be
sepiv	standard errors for the initial probabilities
sePi	standard errors for the transition probabilities
seSi	standard errors for the var-cov matrix
Lk	vector containing the values of the log-likelihood of the LM model for each k (latent states)
Np	vector containing the number of parameters for each k (latent states)
Bic	vector containing the values of the BIC for each k
Aic	vector containing the values of the AIC for each k
J	information matrix
sc	score vector
V	array containing the posterior distribution of the latent states for each units and time occasion
Ul	matrix containing the predicted sequence of latent states by the local decoding method
Pmarg	matrix containing the marginal distribution of the latent states
call	command used to call the function
data	data frame given in input

Author(s)

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni

See Also

lmestCont

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