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fix(arima): let an explicit biasadj override the reused model `Arima(..., model=m)` inherited `biasadj` from `m` unconditionally, and since every model fitted with a Box-Cox transformation now carries a "biasadj" key, the caller's value could never win: `Arima(y, model=m, biasadj=True)` on an `m` fitted with `biasadj=False` returned medians instead of bias-adjusted means. `biasadj` now defaults to None and is only taken from the model when the caller didn't ask for one, mirroring the `blambda is None` guard on the line above and the sentinel `forecast_arima` already uses. Also raise the Guerrero lower bound to 0 when the series isn't strictly positive, as `forecast::BoxCox.lambda` does, so the search stays where the transformation is defined. coreforecast doesn't currently return a negative lambda for such a series, so the bound is pinned at the call.
acoustesh:feature/arima-boxcox-lambda
10 hours ago
Merge branch 'main' into feature/arima-boxcox-lambda
acoustesh:feature/arima-boxcox-lambda
11 hours ago
restore control flow
jmoralez:more-arima-fixes
3 days ago
revert inf and nan return changes
jmoralez:more-arima-fixes
3 days ago

Latest Branches

CodSpeed Performance Gauge
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[FEAT] Enable the Box-Cox blambda parameter in ARIMA models#1209
10 hours ago
1d38078
acoustesh:feature/arima-boxcox-lambda
CodSpeed Performance Gauge
0%
2 days ago
f171a5e
HummerQAQ:fix/validate-level-support
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+65%
arima: model eligiblity fixes#1212
3 days ago
f2d657f
jmoralez:more-arima-fixes
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