rtModel.robust

Repeat transactions dataset from rtCreateTrans()

rt_df

Time matrix object from rtTimeMatrix()

time_matrix

Difference in price between the two transactions

price_diff

Type of model to estimates (base, robust, weighted). Must be in that class.

estimator

(TRUE) Allows robust model to use linear model if it fails

lm_recover

Use of robust estimator in repeat transactions model 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>.

Andy Krause

hpiR

House Price Indexes

rtModel.robust function

See `?rtModel` for more information

rtModel.robust: Repeat transaction model approach with robust estimator

Description

Usage

Arguments

Further Details