Compute house price indexes and series using a variety of different methods and models common through the real estate literature. Evaluate index 'goodness' based on accuracy, volatility and revision statistics. Background on basic model construction for repeat sales models can be found at: Case and Quigley (1991) <https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for hedonic pricing models at: Bourassa et al (2006) <doi:10.1016/j.jhe.2006.03.001>. The package author's working paper on the random forest approach to house price indexes can be found at: <http://www.github.com/andykrause/hpi_research>.
Version: 0.3.2 Depends: R (≥ 3.5.0) Imports: dplyr, magrittr, lubridate, robustbase, ggplot2, imputeTS (≥ 3.0), purrr, forecast, gridExtra, MASS, rlang, plyr, zoo, ranger, pdp Suggests: markdown, testthat, covr, knitr Published: 2020-04-01 DOI: 10.32614/CRAN.package.hpiR Author: Andy Krause [aut, cre] Maintainer: Andy Krause <andyxkrause at gmail.com> License: GPL-3 URL: https://www.github.com/andykrause/hpiR NeedsCompilation: no Materials: README, NEWS CRAN checks: hpiR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hpiR to link to this page.
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