<?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>Hedonic and Multilateral Index Methods for Real Estate Price
Statistics</dc:title>
  <dc:title>R package REPS version 1.1.1</dc:title>
  <dc:description>Compute price indices using various Hedonic and
    multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic
    Multilateral Time series re-estimation with splicing). The central function
    calculate_hedonic_index() offers a unified interface for running these methods
    on structured datasets. This package is designed to support index construction workflows across a wide range of domains 
    — including but not limited to real estate — where quality-adjusted price comparisons over time are essential. 
    The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands.
    The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024)
    &lt;doi:10.1177/0282423X241246617&gt;. For broader methodological context, see Eurostat
    (2013, ISBN:978-92-79-25984-5, &lt;doi:10.2785/34007&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.4.0)</dc:relation>
  <dc:relation>Imports: dplyr, stats, KFAS, stringr, lmtest</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Vivek Gajadhar &lt;v.gajadhar@cbs.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Farley Ishaak [aut],
  Pim Ouwehand [aut],
  David Pietersz [aut],
  Liu Nuo Su [aut],
  Cynthia Cao [aut],
  Mohammed Kardal [aut],
  Odens van der Zwan [aut],
  Vivek Gajadhar [aut, cre]</dc:contributor>
  <dc:rights>EUPL-1.2</dc:rights>
  <dc:date>2026-03-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=REPS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.REPS</dc:identifier>
</oai_dc:dc>
