Package: arimasel 0.1.0

arimasel: Cartesian Product-Based ARIMA Model Identification and Selection

Provides an alternative algorithm for ARIMA model identification based on Cartesian products of user-supplied parameter sets. Rather than relying on ACF/PACF plots or stepwise search (as in auto.arima), the package exhaustively evaluates every ARIMA(p,d,q) triple in P x D x Q, ranks all converged models by AIC, AICc, BIC, and HQIC simultaneously, computes Akaike weights for model uncertainty quantification, produces ensemble forecasts, and provides publication-quality diagnostic plots. The algorithm is flexible, transparent, and widely applicable for quick, reproducible ARIMA model selection. Applications are demonstrated with Nigerian macroeconomic time series data.

Authors:Olushina Olawale Awe [aut, cre]