fitted.blm {bsamGP}

Compute fitted values for a blm object

Description

Computes pointwise posterior means and 95% credible intervals of the fitted Bayesian linear models.

Usage

	## S3 method for class 'blm'
fitted(object, alpha = 0.05, HPD = TRUE, ...)

Arguments

object

a bsam object

alpha

a numeric scalar in the interval (0,1) giving the 100(1-\alpha)% credible intervals.

HPD

a logical variable indicating whether the 100(1-\alpha)% Highest Posterior Density (HPD) intervals are calculated. If HPD=FALSE, the 100(1-\alpha)% equal-tail credible intervals are calculated. The default is TRUE.

...

not used

Details

None.

Value

A list containing posterior means and 95% credible intervals.

The output list includes the following objects:

wbeta

posterior estimates for regression function.

yhat

posterior estimates for generalised regression function.

References

Chen, M., Shao, Q. and Ibrahim, J. (2000) Monte Carlo Methods in Bayesian computation. Springer-Verlag New York, Inc.

See Also

blq, blr, gblr

Examples

## See examples for blq and blr