## S3 method for class 'sparse.sglmm':
summary(object, alpha = 0.05,
digits = 4, ...)sparse.sglmm,
typically the result of a call to
sparse.sglmm.sparse.sglmm, (2) a table of estimates, (3)
the DIC value for the fit, and (4) the size of the
posterior sample. Each row of the table of estimates
shows the estimated regression coefficient, the
$(1-\alpha)100%$ HPD interval for
the coefficient, and the Monte Carlo standard error.sparse.sglmm