Package: hpiR 0.3.4
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: <https://www.github.com/andykrause/hpi_research>.
Authors:
hpiR_0.3.4.tar.gz
hpiR_0.3.4.zip(r-4.5)hpiR_0.3.4.zip(r-4.4)hpiR_0.3.4.zip(r-4.3)
hpiR_0.3.4.tgz(r-4.4-any)hpiR_0.3.4.tgz(r-4.3-any)
hpiR_0.3.4.tar.gz(r-4.5-noble)hpiR_0.3.4.tar.gz(r-4.4-noble)
hpiR_0.3.4.tgz(r-4.4-emscripten)hpiR_0.3.4.tgz(r-4.3-emscripten)
hpiR.pdf |hpiR.html✨
hpiR/json (API)
NEWS
# Install 'hpiR' in R: |
install.packages('hpiR', repos = c('https://andykrause.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andykrause/hpir/issues
- ex_sales - Subset of Seattle Home Sales
- seattle_sales - Seattle Home Sales
Last updated 10 months agofrom:aa4c688b59. Checks:ERROR: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Oct 10 2024 |
R-4.5-win | WARNING | Oct 10 2024 |
R-4.5-linux | WARNING | Oct 10 2024 |
R-4.4-win | WARNING | Oct 10 2024 |
R-4.4-mac | WARNING | Oct 10 2024 |
R-4.3-win | WARNING | Oct 10 2024 |
R-4.3-mac | WARNING | Oct 10 2024 |
Exports:buildForecastIDscalcAccuracycalcForecastErrorcalcInSampleErrorcalcKFoldErrorcalcRevisioncalcSeriesAccuracycalcSeriesVolatilitycalcVolatilitycheckDatecreateKFoldDatacreateSeriesdateToPeriodhedCreateTranshedIndexhedModelhpiModelmatchKFoldmodelToIndexperiodTablerfIndexrfModelrfSimDfrtCreateTransrtIndexrtModelrtTimeMatrixsmoothIndexsmoothSeries
Dependencies:clicodetoolscolorspacecommonmarkcpp11curlDEoptimRdplyrfansifarverforeachforecastfracdiffgenericsggplot2ggtextgluegridExtragridtextgtableimputeTSisobanditeratorsjpegjsonlitelabelinglatticelifecyclelmtestlubridatemagrittrmarkdownMASSMatrixmgcvmunsellnlmennetpdppillarpkgconfigplyrpngpurrrquadprogquantmodR6rangerRColorBrewerRcppRcppArmadilloRcppEigenrlangrobustbasescalesstinepackstringistringrtibbletidyselecttimechangetimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxml2xtszoo