cheem v0.4.2

• 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.

cheem v0.4.1

• 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.

cheem v0.4.0

• 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.

cheem v0.3.0 – Generalized for any attribution

• 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.

cheem v0.2.0 (CRAN releases here on out)

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.

cheem v0.1.0 (GitHub only, commit 283da4)

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.