Package: arimasel
Title: Cartesian Product-Based ARIMA Model Identification and Selection
Version: 0.1.0
Authors@R: person("Olushina Olawale", "Awe",
    email = "olawaleawe@ph-ludwigsburg.de",
    role  = c("aut", "cre"),
    comment = c(ORCID = "0000-0002-3498-7218"))
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils
Suggests: tseries, forecast, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.1
URL: https://github.com/Olawaleawe/arimasel
BugReports: https://github.com/Olawaleawe/arimasel/issues
NeedsCompilation: no
Packaged: 2026-10-18 11:08:50 UTC; root
Author: Olushina Olawale Awe [aut, cre]
        (<https://orcid.org/0000-0002-3498-7218>)
Maintainer: Olushina Olawale Awe <olawaleawe@ph-ludwigsburg.de>
Repository: https://olawaleawe.r-universe.dev
Date/Publication: 2026-06-19 20:30:22 UTC
RemoteUrl: https://github.com/olawaleawe/arimasel
RemoteRef: HEAD
RemoteSha: 447d8819ed45f2765cdf0341f2ba417080c64eb9