summary.sparse.sglmm {ngspatial}

Print a summary of a sparse SGLMM fit.

Description

Print a summary of a sparse SGLMM fit.

Usage

## S3 method for class 'sparse.sglmm'
summary(object, alpha = 0.05, digits = 4, ...)

Arguments

object

an object of class sparse.sglmm, typically the result of a call to sparse.sglmm.

alpha

the significance level used to compute the HPD intervals. The default is 0.05.

digits

the number of significant digits to display. The default is 4.

...

additional arguments.

Details

This function displays (1) the call to sparse.sglmm, (2) the values of the hyperparameters and tuning parameters, (3) a table of estimates, (4) the DIC value for the fit, and (5) the number of posterior samples. Each row of the table of estimates shows an estimated regression coefficient, the HPD interval for the coefficient, and the Monte Carlo standard error.

See Also

sparse.sglmm