calcInSampleError.heddata

Set of sales against which to test predictions

pred_df

Index (of class `ts`) to be tested for accuracy

index

Estimate the predictive error of an index via an in-sample approach (hed 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)
<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>.

calcInSampleError.heddata: Calculate index errors in sample (hed approach)

Description

Usage

Arguments