LMlatentcont-class {LMest} | R Documentation |
Class 'LMlatentcont'
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 |
seGa |
standard errors for Ga |
sc |
score vector |
J |
information matrix |
PI |
estimate of transition probability matrices |
Piv |
estimate of initial probability matrix |
Lk |
vector containing the values of the log-likelihood of the LM model with each |
Bic |
vector containing the values of the BIC of the LM model with each |
Aic |
vector containing the values of the AIC of the LM model with each |
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, Alessio Farcomeni, Alessio Serafini