<?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>Allan Variance</dc:title>
  <dc:title>R package avar version 0.1.3</dc:title>
  <dc:description>Implements the allan variance and allan variance linear regression estimator for latent time series models. More details about the method can be found, for example, in Guerrier, S., Molinari, R., &amp; Stebler, Y. (2016) &lt;doi:10.1109/LSP.2016.2541867&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: Rcpp, stats, simts</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Stéphane Guerrier &lt;stef.guerrier@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Stéphane Guerrier [aut, cre],
  James Balamuta [aut],
  Gaetan Bakalli [aut],
  Roberto Molinari [aut],
  Justin Lee [aut],
  Ahmed Radi [aut],
  Haotian Xu [aut],
  Yuming Zhang [aut],
  Nathanael Claussen [aut],
  Lionel Voirol [ctb]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2023-08-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=avar</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.avar</dc:identifier>
</oai_dc:dc>
