fitted.bsad: Compute fitted values for a bsad object

In bsamGP: Bayesian Spectral Analysis Models using Gaussian Process Priors

Compute fitted values for a bsad object

Description

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

Usage

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

Arguments

object	a bsad 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.bsad 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:

fpar	posterior estimates for parametric model.
fsemi	posterior estimates for semiparametric model.
fsemiMaxKappa	posterior estimates for semiparametric model with maximum number of basis.

See Also

bsad

Examples

## See examples for bsad

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