Changes in version 0.1.0                        

                     Changes in version 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.
  - 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("calibratr").
  - Added applied workflow, calibrator selection, and numerical
    validation vignettes.
  - print() and summary() respect options(calibratr.emoji = FALSE) to
    suppress the decorative glyph in console output.
  - 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.