calcRevision: Calculate revision values of an index

In hpiR: House Price Indexes

Description

Create estimates of the revision statistics for a house price index

Usage

calcRevision(series_obj, in_place = FALSE, in_place_name = "rev",
  smooth = FALSE, ...)

Arguments

series_obj	A list of progressively longer indexes (a 'serieshpi“ object from 'createSeries()“)
in_place	default = FALSE; Calculating in place (adding to hpi)
in_place_name	default = 'rev'; Name of revision object in_place
smooth	default = FALSE; Use smoothed indexes
...	Additional Arguments

Value

list of length 3 containing:

period

Data.frame containing the period number, mean and median for that period

mean

Mean revision for all periods

median

Median revision for all periods

Further Details

The revision object can be generate "in place" inside of the 'serieshpi' object by setting 'in_place' equal to TRUE.

Examples

# Load example sales
 data(ex_sales)

 # Create Index
 rt_index <- rtIndex(trans_df = ex_sales,
                     periodicity = 'monthly',
                     min_date = '2010-06-01',
                     max_date = '2015-11-30',
                     adj_type = 'clip',
                     date = 'sale_date',
                     price = 'sale_price',
                     trans_id = 'sale_id',
                     prop_id = 'pinx',
                     estimator = 'robust',
                     log_dep = TRUE,
                     trim_model = TRUE,
                     max_period = 48,
                     smooth = FALSE)

 # Create Series (Suppressing messages do to small sample size of this example)
  suppressMessages(
    hpi_series <- createSeries(hpi_obj = rt_index,
                               train_period = 12))

 # Calculate revision
 series_rev <-  calcRevision(series_obj = hpi_series)

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