LMlatentcont-class: Class "LMlatentcont"

Description Value Author(s) See Also

Description

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

Value

lk

maximum log-likelihood

Be

estimated array of the parameters affecting the logit for the initial probabilities

Ga

estimated array of the parameters affecting the logit for the transition probabilities

Mu

estimate of conditional means of the response variables

Si

estimate of var-cov matrix common to all states

np

number of free parameters

k

optimal number of latent states

aic

value of the Akaike Information Criterion for model selection

bic

value of the Bayesian Information Criterion for model selection

lkv

log-likelihood trace at every step

n

number of observations in the data

TT

number of time occasions

paramLatent

type of parametrization for the transition probabilities ("multilogit" = standard multinomial logit for every row of the transition matrix, "difflogit" = multinomial logit based on the difference between two sets of parameters)

seMu

standard errors for the conditional means

seSi

standard errors for the var-cov matrix

seBe

standard errors for Be

seGa

standard errors for Ga

PI

estimate of transition probability matrices

Piv

estimate of initial probability matrix

Ul

matrix containing the predicted sequence of latent states by the local decoding method

Lk

vector containing the values of the log-likelihood of the LM model with each k (latent states)

Bic

vector containing the values of the BIC of the LM model with each k (latent states)

Aic

vector containing the values of the AIC of the LM model with each k (latent states)

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

lmestCont


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