lily940703/febama: Feature-based Bayesian Forecasting Model Averaging

This package describes a novel framework for density forecast combination by constructing time-varying weights based on time series features. The method estimates weights in the forecast combination via Bayesian log predictive scores from historical information.

install.packages("remotes")
remotes::install_github("lily940703/febama")