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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)

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.