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cbsREPS  

Hedonic and Multilateral Index Methods for Real Estate Price Statistics
View on CRAN: Click here


Download and install cbsREPS package within the R console
Install from CRAN:
install.packages("cbsREPS")

Install from Github:
library("remotes")
install_github("cran/cbsREPS")

Install by package version:
library("remotes")
install_version("cbsREPS", "0.1.0")



Attach the package and use:
library("cbsREPS")
Maintained by
Vivek Gajadhar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-25
Latest Update: 2025-04-25
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_price_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows for real estate and other domains 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>).
How to cite:
Vivek Gajadhar (2025). cbsREPS: Hedonic and Multilateral Index Methods for Real Estate Price Statistics. R package version 0.1.0, https://cran.r-project.org/web/packages/cbsREPS. Accessed 08 May. 2025.
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