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