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* Binned likelihoods (7)
* Argument validation for LogLikelihood function (8)
* Automatic handling of statistical uncertainty due to finite MC/calibration statistics (9):
* Adjustment of expected counts per bin using Beeston-Barlow method for one source
* Generalized to multiple sources, but only one with finite statistics.
* Only for binned likelihoods.
* iminuit integration, use as default minimizer if installed (10, 13)
* compute_pdf option to do full likelihood model computation on the fly (11)
* HistogramPDF to provide just histogram lookup/interpolation from DensityEstimatingSource (12)
* inference functions -> LogLikelihood methods
* Most-used functions/classes available under blueice (blueice.Source, blueice.UnbinnedLogLikelihood, ...)
* compute_pdf auto-called, consistent handling of events_per_day
* Start of documentation, readthedocs integration
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