plot.fitted.bsamdpm

a <code>fitted.bsamdpm</code> object

see. <code><a rd-options="" href="/link/par?package=bsamGP&version=1.0.1" data-mini-rdoc="bsamGP::par">par</a></code>

other options to pass to the plotting functions

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Plots the data and the fit for 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.

Beomjo Park

bsamGP

Bayesian Spectral Analysis Models using Gaussian Process Priors

plot.fitted.bsamdpm function

see. <code><a rd-options='' href='par'>par</a></code>

plot.fitted.bsamdpm: Plot a fitted.bsamdpm object

Description

Usage

Arguments

Value

See Also

Examples