summary.BayesSAE {BayesSAE} | R Documentation |
Methods for extracting information from fitted simplex regression model
objects of class "BayesSAE"
## S3 method for class 'BayesSAE' summary(object, HB = TRUE, ...) MCMC(object, ...)
object |
fitted model object of class "BayesSAE" |
HB |
logical variable indication whether Rao-Blackwellization of |
... |
currently not used |
These functions aim to extract information from the object of class "BayesSAE"
. Posterior means as
and quantiles of regression coefficients as well as variance of residuals are included in the summary
output. Function mcmc
provides the object of class mcmc
in the coda package for posterior
diagnosis.
Chengchun Shi
Rao, J. N. K. (2003) Small Area Estimation. John Wiley and Sons.
# load data set data(SAIPE) # obtain posterior draws result <- BayesSAE(SACPR~SNAPR+CenPR+CPER|Vardir, data = SAIPE, mcmc = 5000) # summary information summary(result)