Package: cbsREPS 0.1.0

Vivek Gajadhar
cbsREPS: 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 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>).
Authors:
cbsREPS_0.1.0.tar.gz
cbsREPS_0.1.0.tar.gz(r-4.7-any)cbsREPS_0.1.0.tar.gz(r-4.6-any)
cbsREPS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cbsREPS/json (API)
| # Install 'cbsREPS' in R: |
| install.packages('cbsREPS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- data_constraxion - A real estate example dataframe
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:73aafb89ad. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 145 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 147 | ||
| wasm-release | OK | 111 |
Exports:calculate_price_index
Dependencies:assertthatclidplyrgenericsglueKFASlifecyclemagrittrpillarpkgconfigR6rlangstringistringrtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate direct index according to the Fisher hedonic double imputation method | calculate_fisher |
| Calculate the geometric average of a series of values | calculate_geometric_average |
| Calculate direct index according to the Laspeyres hedonic double imputation method | calculate_laspeyres |
| Calculate direct index according to the Paasche hedonic double imputation method | calculate_paasche |
| Calculate index based on specified method (Fisher, Laspeyres, Paasche, HMTS) | calculate_price_index |
| Default update function | custom_update_function |
| A real estate example dataframe | data_constraxion |