Changes in version 0.3.2                        

  - Fixed predict() for LAC and Mondrian classification objects:
    randomize field now defaults to FALSE when not set by the fitting
    method.

                        Changes in version 0.3.1                        

  - Add DOI links for all DESCRIPTION references per CRAN reviewer
    feedback.

                 Changes in version 0.3.0 (2026-03-19)                  

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

                        Changes in version 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

                        Changes in version 0.1.0                        

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