# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "forecastADAPT" in publications use:' type: software license: GPL-3.0-only title: 'forecastADAPT: Computation of Adaptive Forecast' version: 0.1.0 abstract: The function forAD() implements the adaptive forecasting procedure of Giraitis, Kapetanios and Price (2013) . The method can be iterated (e.g., adapt²) and combined with autoregressive (AR) forecasting. These approaches are computationally simple and adapt automatically to structural changes without requiring prior specification of the underlying data-generating process. They are applicable to both stationary and non-stationary time series. The numerical and graphical outputs assist in selecting an appropriate forecasting method, particularly one that minimises mean squared forecast error (MSFE) and yields uncorrelated forecast errors. authors: - family-names: Dalla given-names: Violetta email: vidalla@econ.uoa.gr - family-names: Giraitis given-names: Liudas - family-names: Kapetanios given-names: George repository: https://cran.r-universe.dev commit: b7bceec586358ca1e507978abdfdb5c406022797 date-released: '2026-05-08' contact: - family-names: Dalla given-names: Violetta email: vidalla@econ.uoa.gr