Man pages for andykrause/hpiR
House Price Indexes
| buildForecastIDs | Create the row IDs for forecast accuracy |
| buildForecastIDs.heddata | Create the row IDs for forecast accuracy (hed approach) |
| buildForecastIDs.rtdata | Create the row IDs for forecast accuracy (rt approach) |
| calcAccuracy | Calculate the accuracy of an index |
| calcForecastError | Calculate the forecast accuracy of series of indexes |
| calcInSampleError | Calculate index errors in sample |
| calcInSampleError.heddata | Calculate index errors in sample (hed approach) |
| calcInSampleError.rtdata | Calculate index errors in sample (rt approach) |
| calcKFoldError | Calculate index error with FKold (out of sample) |
| calcRevision | Calculate revision values of an index |
| calcSeriesAccuracy | Calculate the accuracy of a series of indexes |
| calcSeriesVolatility | Calculate volatility of a series of indexes |
| calcVolatility | Calculate index volatility |
| checkDate | Validate the date argument |
| createKFoldData | Create data for KFold error test |
| createKFoldData.rtdata | Create data for KFold error test (rt approach) |
| createSeries | Create a series of indexes |
| dateToPeriod | Convert dates to a relative period |
| ex_sales | Subset of Seattle Home Sales |
| hedCreateTrans | Create data for 'hed' approach |
| hedIndex | Create a full index object by hedonic approach |
| hedModel | Estimate hedonic model for index creation |
| hedModel.base | Hedonic model approach with base estimator |
| hedModel.robust | Hedonic model approach with robust estimator |
| hedModel.weighted | Hedonic model approach with weighted estimator |
| hpiModel | Wrapper to estimate model approaches (generic method) |
| hpiModel.hed | Specific method for hpi modeling (hed) approach) |
| hpiModel.rf | Specific method for hpi modeling (hed) approach) |
| hpiModel.rt | Specific method for hpi modeling (rt approach) |
| hpiR | hpiR: A package for house price indexes |
| matchKFold | Helper function to make KFold data |
| matchKFold.heddata | Helper function to make KFold data |
| matchKFold.rtdata | Helper function to make KFold data |
| modelToIndex | Convert model results into a house price index |
| periodTable | Create a table of the periods (generic method) |
| periodTable.annual | Create a table of the annual periods |
| periodTable.equalfreq | Create a table of equal frequency (any frequency) periods |
| periodTable.equalsample | Create a table of equal frequency (any frequency) periods |
| periodTable.monthly | Create a table of the monthly periods |
| periodTable.quarterly | Create a table of the quarterly periods |
| periodTable.weekly | Create a table of the weekly periods |
| plot.hpi | Plot method for 'hpi' object |
| plot.hpiaccuracy | Plot method for 'hpiaccuracy' object |
| plot.hpiindex | Plot method for 'hpiindex' object |
| plot.indexvolatility | Plot method for 'indexvolatility' object |
| plot.seriesaccuracy | Plot method for 'seriesaccuracy' object |
| plot.serieshpi | Plot method for 'serieshpi' object |
| plot.seriesrevision | Plot method for 'seriesrevision' object |
| rfIndex | Create a full index object by random forest approach |
| rfModel | Estimate random forest model for index creation |
| rfModel.pdp | Random forest model approach with pdp estimator |
| rfSimDf | Create simulation data for Random forest approach |
| rtCreateTrans | Create transaction data for rt approach |
| rtIndex | Create a full index object by repeat transaction approach |
| rtModel | Estimate repeat transaction model for index creation |
| rtModel.base | Repeat transaction model approach with base estimator |
| rtModel.robust | Repeat transaction model approach with robust estimator |
| rtModel.weighted | Repeat transaction model approach with weighted estimator |
| rtTimeMatrix | Create model matrix for repeat transaction approach |
| seattle_sales | Seattle Home Sales |
| smoothIndex | Smooth an index |
| smoothSeries | Smooth all indexes in a series |
