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Added approx_normal argument to forecast(<TSLM>). This allows you to
optionally return forecasts from the more appropriate Student's T distribution
instead of approximating to a Normal distribution. The default behaviour
remains the same, which is to provide approximate Normal distribution
forecasts which are nicer to work with in model combination and reconciliation
(#343).
ETS() will now ignore the smoothing parameter's range when specific
parameter value is given (#317).
Modified initial parameter values for ETS() when bounds = "admissible".
Updated RW forecasts to use an unbiased estimate of sigma2 (#368).
Bug fixes
Fixed issue with characteristic equation test for admissibility of ETS
parameters (#341).
Fixed ARIMA selecting differences that don't satisfy the order_constraint
(#360).
Fixed issue with forecasting ARIMA models with intercept and exogenous
regressors.
Fixed issue with VAR models not storing lagged regressor data for forecasting.