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SynthCast (version 0.2.1)

Synthetic Control Method to Forecast Series

Description

Not a new method implementation. Usage of the Synthetic Control Method, see Abadie et al. (2011) , as an ad-hoc approach to forecast series with panel in a specific context. The context being: There are units in different stages of a certain journey, there the assumption that the units<80><99> behavior throw out the journey are similar is valid and there are not enough data to use traditional forecasting methods. For a usage example see the package home page documentation.

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Version

Install

install.packages('SynthCast')

Monthly Downloads

35

Version

0.2.1

License

GPL (>= 3)

Maintainer

Vinicius Sousa

Last Published

March 8th, 2022

Functions in SynthCast (0.2.1)

compute_result_tables

compute_result_tables
prepare_dataset

prepare_dataset
intern_get_max_time_unit_of_interest

intern_get_max_time_unit_of_interest
compute_synthetic_control

compute_synthetic_control
intern_elegile_units

intern_elegile_units
df_example

Dataset with a y series to be forecasted, and its cumulated value.
run_synthetic_forecast

run_synthetic_forecast