Changes in version 0.4.2 (2025-09-17)                  

  - Removed the function rnorm_from and lqmm from suggests; lqmm (matrix
    math) was removed from CRAN, would need to introduce 2 new packages
    to keep unused utility function.
  - ggplot2 (v4.0.0) pushed breaking changes as they transition to S7
    objects; changed tests from expect_equal(class(x), c("gg",
    "ggplot")) to expect_true(inherits(x, c("ggplot",
    "ggplot2::ggplot"))) according to tidyverse/ggplot2#6498.
  - Fixed a 4x more visualization tests.

                 Changes in version 0.4.1 (2025-08-26)                  

  - ggplot2 is pushing breaking changes as they transition to S7
    objects; changed tests from expect_equal(class(x), c("gg",
    "ggplot")) to expect_true(inherits(x, c("ggplot",
    "ggplot2::ggplot"))) according to tidyverse/ggplot2#6498.
  - Updated two ames housing urls as jse.amstat.org urls moved to https.

                        Changes in version 0.4.0                        

  - Repaired packagedown site!
  - Fixed news on packagedown site.
  - Shiny app has go buttons rather than waiting after every input
    change.
  - Shiny app text, plot dimensions, and text cleaned up.
  - Classification tour now uses a horizontal layout.
  - Cleaned up the text on the facet panels for global_tour() and
    radial_cheem_tour().
  - Removed support for the basis_type argument. support for alternative
    bases types is really an extension of the analysis.
  - Recreate the saved classification model, they fit too well to work
    as illustrations.
  - Set seed more consistently. All model and attribution shifted a bit,
    but will be more replicable going forward.
  - Minor documentation and code clean up and clarifications.

                 Changes in version 0.3.0 (2023-05-08)                  

  - Rebase all functions from expecting a unified treeshap::shap() to
    generalized data frame or matrix format for arbitrary attribution
    spaces.
  - Rework vignette and examples to reflect this change.
  - Added precomputed predictions and attributions for the Ames,
    Chocolates, and Penguins datasets. This allows users to run
    attribution-agnostic functions without dependencies.
  - Add subset_cheem(), a convenience function for subsetting cheem
    lists after construction.
  - Removed plotly subplot variations of visuals:
    global_view_subplots(), radial_cheem_tour_subplots(). These were
    development variations never used in the shiny app.
  - Minor function renames for parsimony and consistency.

                 Changes in version 0.2.0 (2022-03-14)                  

App related changes

  - Added vignette: Getting started with cheem.
  - Added pkgdown site: https://nspyrison.github.io/cheem/.
  - Added global model performance metrics to shiny app.
  - In global_view(), added yhaty panel (residual plot/confusion
    matrix).
  - In global_view(), added color options: log_maha.data and cor_attr.y.
  - In cheem_radial_tour(), added regression case panel with additional
    fixed y of residual.
  - In app radial tour inputs, added inclusion variable, subsetting
    variables used in radial tour.
  - plotly::subplot() variants of global_view() & cheem_radial_tour().
  - Added AmesHousing data, chocolates, and new toy simulated datasets
    (shiny app only).
  - Reduced shiny app wording.

Internal & utilities

  - Major rebase of cheem_ls().
  - Added linear/logistic_tform() to suggest an alpha as a function of
    the number of observations.

Sourcing treeshap

  - drat repository hosting treeshap did not work with debian and window
    rhub platforms;
  - Minimally ported functions and cpp source files with @author &
    @source. Changed examples for consistency and smaller code base
    support.
  - as of v0.3.0, cheem was generalized to all local variable
    attributions, so this is not a concern.

                        Changes in version 0.1.0                        

Primary preprocessing functions

  - default_rf() create a randomForest::randomForest() with more
    conservative defaults.
  - attr_df_treeshap() create treeshap::treeshap() local explanations of
    each observation.
  - cheem_ls() create a cheem list of prepared tables for use in
    run_app().

Primary visual functions

  - run_app() which is a shiny app consuming the following two:
  - global_view() linked 'plotly' of approximations of data- and
    attribution-spaces with model information.
  - cheem_radial_tour() create spinifex::ggtour of the specified radial
    tour. Consumed by animate_plotly, animate_gganimate, or filmstrip.