<?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>Alternative Time Series Analysis</dc:title>
  <dc:title>R package aTSA version 3.1.2.1</dc:title>
  <dc:description>Contains some tools for testing, analyzing time series data and
    fitting popular time series models such as ARIMA, Moving Average and Holt
    Winters, etc. Most functions also provide nice and clear outputs like SAS
    does, such as identify, estimate and forecast, which are the same statements
    in PROC ARIMA in SAS.</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Debin Qiu &lt;debinqiu@uga.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Debin Qiu</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=aTSA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.aTSA</dc:identifier>
</oai_dc:dc>
