## Summary Time series analysis: stationarity tests, smoothing, ARIMA, decomposition. Python bindings ship alongside. ## Rust (`statscore-timeseries`) - [ ] ADF, KPSS stationarity tests - [ ] EMA, Holt, Holt-Winters smoothing - [ ] AR, MA, ARMA, ARIMA - [ ] Trend + seasonal + residual decomposition ## Python bindings (`statscore.timeseries`) - [ ] `fit()` / `forecast()` API - [ ] AIC/BIC match R `forecast` package ## Done when - [ ] ARIMA AIC/BIC validated vs R - [ ] Python forecast API works end-to-end
Summary
Time series analysis: stationarity tests, smoothing, ARIMA, decomposition. Python bindings ship alongside.
Rust (
statscore-timeseries)Python bindings (
statscore.timeseries)fit()/forecast()APIforecastpackageDone when