bsamGP (version 1.1.2)

fitted.blm: 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 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

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.

Details

None.

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

# NOT RUN {
## See examples for blq and blr
# }