print.gibbs_psd

Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2023) <doi:10.48550/arXiv.2303.11561>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.

Renate Meyer

beyondWhittle

Bayesian Spectral Inference for Time Series

Alexander Meier

Claudia Kirch

Matthew C. Edwards

Yifu Tang

print.gibbs_psd function

<dl><dt>x</dt>
<dd>object of class gibbs_psd</dd>
<dt>...</dt>
<dd>not in use</dd></dl>

Arguments

Print method for gibbs_psd class — print.gibbs_psd

<dl>

<dt>x</dt>
<dd>object of class gibbs_psd</dd>


<dt>...</dt>
<dd>not in use</dd>

</dl>

Print method for gibbs_psd class

print.gibbs_psd: Print method for gibbs_psd class

Description

Usage

Arguments