Provides deterministic forecasting for weekly, monthly, quarterly, and yearly time series using the Generalized Adaptive Capped Estimator.
Includes a structured preprocessing pipeline with support for:
Implements multiple growth components:
Growth components are combined using a trimmed, robust averaging framework to ensure stable signal extraction across different series types.
Includes volatility-aware asymmetric caps that adapt to series characteristics and frequency.
Provides optional seasonal scaling using smoothed, normalized seasonal factors derived from the historical pattern.
Forecast generation uses a recursive formulation incorporating
growth moderation (gamma) and level–growth blending (beta).
The user-facing function gace_forecast() returns forecasted
values in a simple, consistent structure.
The helper function plot_gace() visualizes historical and projected
values using ggplot2.
Package includes documentation, examples, vignette, tests, and is structured for CRAN compatibility.