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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 handling of non-positive or missing values, optional interpolation, and optional winsorization of extreme observations.
Implements multiple growth components including year-over-year, short-term movement, rolling-window behavior, and long-run drift.
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).
Includes a user-facing forecasting interface (gace_forecast) that returns forecasts in a consistent structure.
Includes a plotting helper (plot_gace) for visualizing historical and projected values using ggplot2.
Package includes documentation, examples, a vignette, and tests, and is structured for CRAN compatibility.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.