predictset 0.3.0

Documentation

• Documented Jackknife+ and CV+ theoretical coverage guarantee (1-2alpha) per Barber et al. (2021)
• Documented ACI asymptotic (not finite-sample) coverage guarantee per Gibbs and Candes (2021)
• Documented CQR dependence on quantile model quality
• Documented deterministic vs randomized APS variants
• Added coverage guarantee footnotes to README and vignette method tables

Internal

• Added graphics and grDevices to DESCRIPTION Imports
• Added missing test dependencies to Suggests

predictset 0.2.0

New features

• conformal_mondrian() and conformal_mondrian_class() for group-conditional (Mondrian) conformal prediction
• conformal_weighted() for weighted conformal prediction under covariate shift
• conformal_aci() for adaptive conformal inference (sequential prediction)
• conformal_pvalue() for conformal p-values
• conformal_compare() for benchmarking multiple methods side-by-side
• coverage_by_group() and coverage_by_bin() for conditional coverage diagnostics
• Progress bars via verbose = TRUE for conformal_jackknife() and conformal_cv()

Improvements

• NA/NaN/Inf input validation with informative error messages
• Column dimension checks between training and test data
• Probability matrix column validation for classification methods
• Graceful handling of unseen factor levels in APS/RAPS/LAC scoring
• Negative scale model prediction warnings for normalized conformal

predictset 0.1.0

• Initial release with split conformal, CV+, Jackknife+, CQR (regression) and split, APS, RAPS, LAC (classification)