probably 1.0.0

• Copyright holder changed to Posit Software PBC.

• A set of calibration tools were added:

  • The need for calibration can be visualized using the collection of cal_plot_*() functions.
  • Calibration methods can be estimated with a family of cal_estimate_*() functions.
  • To validate the calibrations using resampling, see the cal_validate_*() functions.
  • cal_apply() can take a calibration model and apply it to a set of existing predictions.

• Possible calibration tools:

  • Binary classification methods: logistic regression, isotonic regression, and Beta calibration.
  • Multiclass classification: multinomial, isotonic regression, and Beta calibration
  • Regression: linear regression, isotonic regression

• Based on the initial PR (#37) by Antonio R. Vargas, threshold_perf() now accepts a custom metric set (#25)

• Two functions were added to compute prediction intervals for regression models via conformal inference:

  • int_conformal_infer()
  • int_conformal_infer_cv()