Package: GACE
Title: Generalized Adaptive Capped Estimator for Time Series
        Forecasting
Version: 1.0.0
Authors@R: 
    person(given = "Vinodhkumar",
           family = "Gunasekaran",
           role = c("aut", "cre"),
           email = "vinoalles@gmail.com")
Maintainer: Vinodhkumar Gunasekaran <vinoalles@gmail.com>
Description: 
    Provides deterministic forecasting for weekly, monthly, quarterly, and yearly
    time series using the Generalized Adaptive Capped Estimator. The method
    includes preprocessing for missing and extreme values, extraction of multiple
    growth components (including long-term, short-term, rolling, and drift-based
    signals), volatility-aware asymmetric capping, optional seasonal adjustment
    via damped and normalized seasonal factors, and a recursive forecast
    formulation with moderated growth. The package includes a user-facing
    forecasting interface and a plotting helper for visualization. Related
    forecasting background is discussed in Hyndman and Athanasopoulos (2021)
    <https://otexts.com/fpp3/> and Hyndman and Khandakar (2008)
    <doi:10.18637/jss.v027.i03>. The method extends classical extrapolative
    forecasting approaches and is suited for operational and business planning
    contexts where stability and interpretability are important.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: ggplot2, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, forecast
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/vinoalles/GACE
BugReports: https://github.com/vinoalles/GACE/issues
NeedsCompilation: no
Packaged: 2025-12-07 20:32:14 UTC; vinodhkumargunasekaran
Author: Vinodhkumar Gunasekaran [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:20:18 UTC
Built: R 4.6.0; ; 2026-04-26 07:33:30 UTC; unix
