hpiModel.hed: Specific method for hpi modeling (hed) approach)

In hpiR: House Price Indexes

Description

Estimate hpi models with hed approach

Usage

## S3 method for class 'hed'
hpiModel(model_type, hpi_df, estimator = "base",
  log_dep = TRUE, trim_model = TRUE, mod_spec = NULL,
  dep_var = NULL, ind_var = NULL, ...)

Arguments

model_type	Type of model to estimate ('rt', 'hed', 'rf')
hpi_df	Dataset created by one of the *CreateSales() function in this package.
estimator	Type of estimator to be used ('base', 'weighted', 'robust')
log_dep	default=TRUE; should the dependent variable (change in price) be logged?
trim_model	default TRUE, should excess be trimmed from model results ('lm' or 'rlm' object)?
mod_spec	default=NULL; hedonic model specification
dep_var	default=NULL; dependent variable of the model
ind_var	default=NULL; independent variable(s) of the model
...	Additional Arguments

Value

hpimodel object consisting of:

estimator

Type of estimator

coefficients

Data.frame of coefficient

model_obj

class 'rtmodel' or 'hedmodel'

mod_spec

Full model specification

log_dep

Binary: is the dependent variable in logged format

base_price

Mean price in the base period

periods

'data.frame' of periods

approach

Type of model used

hpiR documentation built on April 1, 2020, 5:09 p.m.