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 |
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-release: hpiR_0.3.2.zip, r-oldrel: hpiR_0.3.2.zip |
macOS binaries: | r-release (arm64): hpiR_0.3.2.tgz, r-oldrel (arm64): hpiR_0.3.2.tgz, r-release (x86_64): hpiR_0.3.2.tgz, r-oldrel (x86_64): hpiR_0.3.2.tgz |
Old sources: | hpiR archive |
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