createSeries {hpiR}

Create a series of indexes

Description

Generate a series of progressive indexes

Usage

createSeries(hpi_obj, train_period = 12, max_period = NULL, ...)

Arguments

hpi_obj

Object of class 'hpi'

train_period

default = 12; Number of periods to use as purely training before creating indexes

max_period

default = NULL; Maximum number of periods to create the index up to

...

Additional Arguments

Value

An 'serieshpi' object – a list of 'hpi' objects.

Further Details

'train_period' Represents the shortest index that you will create. For certain approaches, such as a repeat transaction model, indexes shorter than 10 will likely be highly unstable.

If 'max_period“ is left NULL, then it will forecast up to the end of the data.

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))