NEWS
cheem 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.
cheem 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.
cheem 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.
cheem 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.
cheem 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.
cheem 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.