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)
- 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.