LMmanifestcont-class {LMest} | R Documentation |
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 |
Np |
vector containing the number of parameters for each |
Bic |
vector containing the values of the BIC for each |
Aic |
vector containing the values of the AIC for each |
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