fable.intermittent 0.3.0

New features

• Released tinyM5 data set, a subset of the M5 dataset.

• Included NNARMA (non-negative autoregressive moving average) model by Sbrana & Babai (2026).

• Added occurrence smoothing for TWEES to determine the dispersion parameter.

• Added Tweedie distribution as an option in the parametric distribution model.

Deprecations

• Renamed EMPDISTR and PARAMDISTR to EMPSD and PARAMSD.

• Dropped mixture of distribution in PARAMSD.

Minor improvements and bug fixes

• Fixed a bug in the information criteria in PARAMSD.

• Changed optimisation strategy for damped exponential smoothing models.

• Fixed recursion in BETANBB and GAMPOISB.

• Implemented non-negative Gaussian forecast distribution for ARMA-based models.

• Increased test coverage.

fable.intermittent 0.2.0

New features

• Released pasta hierarchical data set.

Deprecations

• Dropped dist_tweedie() and stats-like Tweedie functions; moved them to standalone tweedieDistr package.

fable.intermittent 0.1.1

New features

• Added report() and tidy() methods for all model classes.

• Details included in model_sum() for ES-based models and PARAMSD().

Minor improvements and bug fixes

• Fixed an error in the Tweedie quantile method (quantile.dist_tweedie()).

• MARWAL() forecast distributions are now truncated at zero.

fable.intermittent 0.1.0

• Initial CRAN submission.