print_summary_gibbs_psd_help

Helping function for print and summary (both are quite similar)

internal

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) <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_summary_gibbs_psd_help function

<dl><dt>flag</dt>
<dd>An indicator. flag=T indicates print, flag=F indicates summary</dd></dl>

Arguments

Helping function for print and summary (both are quite similar) — print_summary_gibbs_psd_help

<dl>

<dt>flag</dt>
<dd>An indicator. flag=T indicates print, flag=F indicates summary</dd>

</dl>

print_summary_gibbs_psd_help: Helping function for print and summary (both are quite similar)

Description

Usage

Arguments