my_rdirichlet

Generate a random samples from a Dirichlet distribution

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) <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

my_rdirichlet function

<dl><dt>alpha</dt>
<dd>numeric vector of positive concentration parameter</dd></dl>

Arguments

Generate a random samples from a Dirichlet distribution — my_rdirichlet

<dl>

<dt>alpha</dt>
<dd>numeric vector of positive concentration parameter</dd>

</dl>

my_rdirichlet: Generate a random samples from a Dirichlet distribution

Description

Usage

Value

Arguments