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hpiR
View on CRAN: Click
here
Download and install hpiR package within the R console
Install from CRAN:
install.packages("hpiR")
Install from Github:
library("remotes")
install_github("cran/hpiR")
Install by package version:
library("remotes")
install_version("hpiR", "0.3.2")
Attach the package and use:
library("hpiR")
Maintained by
Andy Krause
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.hpiR . https://www.github.com/andykrause/hpiR . hpiR results . hpiR.pdf . hpiR Classes . Using hpiR . hpiR_0.3.2.tar.gz . hpiR_0.3.2.zip . hpiR_0.3.2.zip . hpiR_0.3.2.zip . hpiR_0.3.2.tgz . hpiR_0.3.2.tgz . hpiR_0.3.2.tgz . hpiR_0.3.2.tgz . hpiR archive . https://CRAN.R-project.org/package=hpiR .
First Published: 2018-08-08
Latest Update: 2020-04-01
Description:
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)
and for hedonic pricing models at:
Bourassa et al (2006) . The package author's working paper on the
random forest approach to house price indexes can be found at: .
How to cite:
Andy Krause (2018). hpiR: House Price Indexes. R package version 0.3.2, https://cran.r-project.org/web/packages/hpiR. Accessed 06 May. 2025.
Previous versions and publish date:
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Other R packages that hpiR depends,
imports, suggests or enhances
Complete documentation for hpiR
Functions, R codes and Examples using
the hpiR R package
Some associated functions: buildForecastIDs.heddata . buildForecastIDs . buildForecastIDs.rtdata . calcAccuracy . calcForecastError . calcInSampleError.heddata . calcInSampleError . calcInSampleError.rtdata . calcKFoldError . calcRevision . calcSeriesAccuracy . calcSeriesVolatility . calcVolatility . checkDate . createKFoldData . createKFoldData.rtdata . createSeries . dateToPeriod . ex_sales . hedCreateTrans . hedIndex . hedModel.base . hedModel . hedModel.robust . hedModel.weighted . hpiModel.hed . hpiModel . hpiModel.rf . hpiModel.rt . hpiR . matchKFold.heddata . matchKFold . matchKFold.rtdata . modelToIndex . plot.hpi . plot.hpiaccuracy . plot.hpiindex . plot.indexvolatility . plot.seriesaccuracy . plot.serieshpi . plot.seriesrevision . rfIndex . rfModel . rfModel.pdp . rfSimDf . rtCreateTrans . rtIndex . rtModel.base . rtModel . rtModel.robust . rtModel.weighted . rtTimeMatrix . seattle_sales . smoothIndex . smoothSeries .
Some associated R codes: calcAccuracy.R . calcForecastError.R . calcInSampleError.R . calcKFoldError.R . calcRevision.R . calcVolatility.R . createSeries.R . dateToPeriod.R . hedCreateTrans.R . hedIndex.R . hedModel.R . hpiModel.R . hpiR.R . hpir_data.R . modelToIndex.R . plotFunctions.R . rfIndex.R . rfModel.R . rtCreateTrans.R . rtIndex.R . rtModel.R . rtTimeMatrix.R . smoothIndex.R . Full hpiR package functions and examples
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