summary.search_lqmix {lqmix} | R Documentation |
Summary of a search_lqmix
opt
Description
Summary method for the class
search_lqmix
Usage
## S3 method for class 'search_lqmix'
summary(object, ...)
Arguments
object |
a |
... |
not used |
Value
Return an opt of class
summary.search_lqmix
.
This is a list of summary statistics for the optimal linear quantile mixture model given in opt
, with the following elements:
fix |
a matrix with estimates, standard errors, Z statistics, and p-values for the fixed regression coefficients for the optimal model |
ranTC |
a matrix with estimates, standard errors, Z statistics, and p-values for the TC random coefficients (if present) for the optimal model |
ranTV |
a matrix with estimates, standard errors, Z statistics, and p-values for the TV random coefficients (if present) for the optimal model |
pg |
a matrix with estimates and standard errors for the prior probabilities of the finite mixture associated to TC random coefficients (if present) for the optimal model |
delta |
a matrix with estimates and standard errors for the initial probabilities of the hidden Markov chain associated to TV random coefficients (if present) for the optimal model |
Gamma |
a matrix with estimates and standard errors for the transition probabilities of the hidden Markov chain associated to TV random coefficients (if present) for the optimal model |
scale |
the scale parameter for the optimal model |
sigma.e |
the standard deviation of error terms for the optimal model |
logLik |
the log-likelihood at convergence of the EM algorithm for the optimal model |
npar |
the total number of model parameters for the optimal model |
AIC |
the AIC value for the optimal model |
BIC |
the BIC value for the optimal model |
qtl |
the estimated quantile |
G |
the number of mixture components associated to TC random coefficients (if present) for the optimal model |
m |
the number of hidden states associated to TV random coefficients (if present) for the optimal model |
nsbj |
the number of subjects |
nobs |
the total number of observations |
miss |
the missingness type |
model |
the identified optimal model |
call |
the matched call |