Changes in version 0.1-9 (2026-08-28)                  

  - Fix "donttest" examples, broken by partykit 1.3-0.

  - Import functions selectively, as needed, from graphics and partykit
    rather than the entire namespaces.

                 Changes in version 0.1-8 (2026-07-30)                  

  - Code repository changed from R-Forge to Codeberg at:
    https://codeberg.org/zeileis/stablelearner/

  - Added basic altdoc page with overview and documentation at:
    https://zeileis.codeberg.page/stablelearner/

                 Changes in version 0.1-7 (2025-10-27)                  

  - Fix small bug in splithalf() sampling for stability(). In case of an
    uneven number of observations in the learning sample some small
    overlap in the two splitted halves would occur. This is avoided now
    by dropping one random observation now and restricting both halves
    to be always of the same size. Reported by Constantin Wiegand along
    with two further small improvements: Warnings about lack of variance
    in predictions on learning samples and avoiding manual triggering of
    the garbage collector.

                 Changes in version 0.1-6 (2025-07-25)                  

  - Improve non-anchored links in manual pages (prompted by CRAN).

                 Changes in version 0.1-5 (2023-04-13)                  

  - The as.stabletree() method for RandomForest objects (party package)
    is now registered as an S3 (rather than S4) method.

  - Environment .stabEnv is only used internally by stabletree() and
    hence not exported anymore in NAMESPACE.

                 Changes in version 0.1-4 (2022-03-18)                  

  - Z takes over maintenance from MP.

  - Fix checks for sampler specifications where a logical of length 2 is
    now correctly aggregated with all().

                 Changes in version 0.1-3 (2021-01-10)                  

  - Small improvements for CRAN checks.

                 Changes in version 0.1-2 (2020-04-17)                  

  - Changed default sampling method in stabletree() from bootstrap() to
    subsampling() with default fraction of v = 0.632.

  - as.stabletree() coercion generic added which allows to coerce a
    randomForest (randomForest package), RandomForest (party package),
    cforest (partykit package) or ranger (ranger package) to a
    stabletree object.

  - Added a vignette on the variable and cutpoint selection analysis of
    random forests.

                 Changes in version 0.1-1 (2018-07-10)                  

  - Project stablelearner has been launched and a stable version of the
    package has been uploaded to CRAN.

  - stability() is available to estimate the stability of the results
    from a given supervised statistical learning method.

  - stabletree() is available to estimate the stability of the results
    from recursive partitioning.