buildForecastIDs.rtdata

Period after which to cut off data

time_cut

Data to be converted to training or scoring

hpi_df

default = 1; Length of forecasting to do

forecast_length

Default=TRUE; Create training data? FALSE = Scoring data

train

Generate a vector of row IDs for use in forecast accuracy tests (rt approach)

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) <doi:10.2307/2109686> and
for hedonic pricing models at: Bourassa et al (2006) <doi:10.1016/j.jhe.2006.03.001>.

buildForecastIDs.rtdata: Create the row IDs for forecast accuracy (rt approach)

Description

Usage

Arguments