<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Bayesian Spectral Inference for Time Series</dc:title>
  <dc:title>R package beyondWhittle version 1.3.1</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>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) &lt;doi:10.1214/18-BA1126&gt;, A. Meier (2018) &lt;https://opendata.uni-halle.de//handle/1981185920/13470&gt; and Y. Tang et al (2025) &lt;doi:10.1080/01621459.2025.2594191&gt;. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: ltsa (&gt;= 1.4.6), Rcpp (&gt;= 0.12.5), MASS, forecast</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, BH</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Renate Meyer &lt;renate.meyer@auckland.ac.nz&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alexander Meier [aut],
  Claudia Kirch [aut],
  Matthew C. Edwards [aut],
  Renate Meyer [aut, cre],
  Yifu Tang [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-04-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=beyondWhittle</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.beyondWhittle</dc:identifier>
</oai_dc:dc>
