fitted.bsam: Compute fitted values for a bsam object

In bsamGP: Bayesian Spectral Analysis Models using Gaussian Process Priors

Compute fitted values for a bsam object

Description

Computes pointwise posterior means and 100(1-\alpha)% credible intervals of the fitted Bayesian spectral analysis models.

Usage

## S3 method for class 'bsam'
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 object of class fitted.bsam containing posterior means and 100(1-\alpha)% credible intervals. Generic function plot displays the results of the fit.

The output list includes the following objects:

fxobs	posterior estimates for unknown functions over observation.
fxgrid	posterior estimates for unknown functions over grid points.
wbeta	posterior estimates for parametric part.
yhat	posterior estimates for fitted values of response. For gbsar, it gives posterior estimates for expectation of response.

See Also

bsaq, bsaqdpm, bsar, bsardpm

Examples

## See examples for bsaq, bsaqdpm, bsar, and bsardpm

bsamGP documentation built on April 3, 2025, 9:35 p.m.