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probcal 0.0.0.9000
- Added multiclass calibration.
cal_temperature() and cal_cv() accept a logit or probability matrix, and new constructors cal_vector_scaling(), cal_dirichlet(), and cal_ovr() cover vector scaling, Dirichlet calibration, and one-vs-rest calibration.
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ece(), mce(), ace(), and reliability_diagram() accept a probability matrix with a type argument for classwise or top-label confidence evaluation.
- Added
mmce(), a binning-free Maximum Mean Calibration Error metric for binary and multiclass predictions.
- Added
inst/CITATION so users can cite the package with citation("probcal").
- Added applied workflow, calibrator selection, and numerical validation vignettes.
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print() and summary() respect options(probcal.emoji = FALSE) to suppress the decorative glyph in console output.
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reliability_diagram() now reports ECE in the subtitle by default and can use either count-scaled or fixed-size points.
- Added optional development validation tests against Python
netcal and R betacal.
- Initial development version with binary calibration methods, calibration metrics, reliability diagrams, and out-of-fold calibration support.
