AAA exponential smoothing (Hyndman et al. 2008, ETS(A,A,A)) over an evenly
spaced timeline: documented seasonality, data completion and aggregation
arguments, calendar-month date timelines, autocorrelation seasonality
detection, state-space prediction intervals, statistic types 1-8.
Smoothing parameters minimise the in-sample SSE (grid + clamped
Nelder-Mead). XLSX export treats the family's range arguments as
array-taking (no spurious dynamic-array metadata), FORECAST/FORECAST.LINEAR
included.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Progress docs per craftrules standards/progress-docs.md: target-app parity, gaps, roadmap with alpha gate, readiness by audience (full / mainstream / essentials) with Opus 5.5 hours, and feature, format, hardware, UI and localization parity docs.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
