Description Usage Arguments Value Examples
Converts model results to standardized index objects
1 2 | modelToIndex(model_obj, max_period = max(model_obj$coefficients$time),
...)
|
model_obj |
Model results object |
max_period |
Maximum number of periods that should have been estimated. |
... |
Additional arguments |
'hpiindex' object containing:
name |
vector of period names |
numeric |
vector of period in numeric form |
period |
vector of period numbers |
value |
'ts' object of the index values |
imputed |
vector of binary values indicating imputation |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | # Load data
data(ex_sales)
# With a raw transaction data.frame
rt_data <- rtCreateTrans(trans_df = ex_sales,
prop_id = 'pinx',
trans_id = 'sale_id',
price = 'sale_price',
periodicity = 'monthly',
date = 'sale_date')
# Create model object
hpi_model <- hpiModel(model_type = 'rt',
hpi_df = rt_data,
estimator = 'base',
log_dep = TRUE)
# Create Index
hpi_index <- modelToIndex(hpi_model,
max_period = 84)
|
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