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bsamGP (version 1.2.6)

fitted.bsamdpm: Compute fitted values for a bsamdpm object

Description

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

Usage


# S3 method for bsamdpm
fitted(object, alpha = 0.05, HPD = TRUE, ...)

Value

A list object of class fitted.bsamdpm containing posterior means and 95% credible intervals. Generic function plot displays the results of the fit.

The output list includes the following objects:

edens

posterior estimate for unknown error distribution over grid points.

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.

Arguments

object

a bsamdpm 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.

See Also

bsaqdpm, bsardpm

Examples

Run this code
## See examples for bsaqdpm and bsardpm

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