fitted.bsamdpm

object

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

alpha

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

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

Contains functions to perform Bayesian inference
using a spectral analysis of Gaussian process priors.
Gaussian processes are represented with a Fourier series
based on cosine basis functions. Currently the package
includes parametric linear models, partial linear additive
models with/without shape restrictions, generalized linear
additive models with/without shape restrictions, and
density estimation model. To maximize computational
efficiency, the actual Markov chain Monte Carlo sampling
for each model is done using codes written in FORTRAN 90.

fitted.bsamdpm: Compute fitted values for a bsamdpm object

Description

Usage

Arguments

Value

Details

See Also

Examples