hpiR: House Price Indexes

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
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

Downloads:

Reference manual: hpiR.pdf
Vignettes: hpiR Classes
Using hpiR
Package source: hpiR_0.3.2.tar.gz
Windows binaries: r-devel: hpiR_0.3.2.zip, r-devel-gcc8: hpiR_0.3.1.zip, r-release: hpiR_0.3.2.zip, r-oldrel: hpiR_0.3.2.zip
OS X binaries: r-release: hpiR_0.3.2.tgz, r-oldrel: hpiR_0.3.1.tgz
Old sources: hpiR archive

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