The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

REPS: Hedonic and Multilateral Index Methods for Real Estate Price Statistics

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_price_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) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).

Version: 1.0.0
Depends: R (≥ 4.4.0)
Imports: dplyr, stats, KFAS, stringr, lmtest
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-30
DOI: 10.32614/CRAN.package.REPS
Author: 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]
Maintainer: Vivek Gajadhar <v.gajadhar at cbs.nl>
BugReports: https://github.com/vivekag7/REPS/issues
License: EUPL-1.2
URL: https://github.com/vivekag7/REPS
NeedsCompilation: no
Citation: REPS citation info
Materials: README, NEWS
CRAN checks: REPS results

Documentation:

Reference manual: REPS.html , REPS.pdf
Vignettes: Getting Started with Price Index Calculation using REPS (source, R code)
Regression Diagnostics by Period using REPS (source, R code)

Downloads:

Package source: REPS_1.0.0.tar.gz
Windows binaries: r-devel: REPS_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): REPS_1.0.0.tgz, r-oldrel (arm64): REPS_1.0.0.tgz, r-release (x86_64): REPS_1.0.0.tgz, r-oldrel (x86_64): REPS_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=REPS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.