Package: cheem 0.4.2

cheem: Interactively Explore Local Explanations with the Radial Tour

Given a non-linear model, calculate the local explanation. We purpose view the data space, explanation space, and model residuals as ensemble graphic interactive on a shiny application. After an observation of interest is identified, the normalized variable importance of the local explanation is used as a 1D projection basis. The support of the local explanation is then explored by changing the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.

Authors:Nicholas Spyrison [aut, cre]

cheem_0.4.2.tar.gz
cheem_0.4.2.zip(r-4.7)cheem_0.4.2.zip(r-4.6)cheem_0.4.2.zip(r-4.5)
cheem_0.4.2.tgz(r-4.6-any)cheem_0.4.2.tgz(r-4.5-any)
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cheem_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cheem/json (API)

# Install 'cheem' in R:

install.packages('cheem', repos = c('https://nspyrison.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nspyrison/cheem/issues

Pkgdown/docs site:https://nspyrison.github.io

Datasets:

ames_rf_pred - Ames random forest model predictions and shap values
ames_rf_shap - Ames random forest model predictions and shap values
amesHousing2018 - Ames housing data 2018
amesHousing2018_NorthAmes - Ames housing data 2018
amesHousing2018_raw - Ames housing data 2018
chocolates - Chocolates dataset
chocolates_svm_pred - Chocolate svm model predictions and shap values
chocolates_svm_shap - Chocolate svm model predictions and shap values
penguin_xgb_pred - Penguins xgb model predictions and shap values
penguin_xgb_shap - Penguins xgb model predictions and shap values

On CRAN:

5.01 score 2 stars 51 scripts 265 downloads 17 exports 157 dependencies

Last updated from:5e2156f33f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	198
source / vignettes	OK	218
linux-release-x86_64	OK	180
macos-release-arm64	OK	158
macos-oldrel-arm64	OK	173
windows-devel	OK	95
windows-release	OK	110
windows-oldrel	OK	88
wasm-release	OK	181

Exports:%>%as_logical_index cheem_ls color_scale_of contains_nonnumeric global_view is_discrete is_diverging linear_tform logistic_tform problem_type proto_basis1d_distribution radial_cheem_tour run_app subset_cheem sug_basis sug_manip_var

Dependencies:abind ADMM alphahull ash askpass backports base64enc bitops boot bslib cachem cassowaryr checkmate clarabel class classInt cli cluster codetools commonmark conflicted cpp11 crayon crosstalk curl CVXR data.table DBI dbscan deldir digest doParallel dplyr DT e1071 energy evaluate farver fastcluster fastmap fontawesome foreach fs generics geozoo gganimate ggplot2 glue gmp gsignal gsl gtable highr highs hms htmltools htmlwidgets httpuv httr igraph interp isoband iterators jquerylib jsonlite KernSmooth knitr labdsv labeling later lattice lazyeval lifecycle lpSolve magrittr maotai MASS Matrix mclustcomp memoise mgcv mime minerva nlme openssl osqp otel pillar pkgconfig plotly polyclip pracma prettyunits progress promises proxy purrr R.methodsS3 R.oo R.utils R6 RANN rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppDE RcppDist RcppEigen Rdimtools Rdpack rlang rmarkdown RSpectra Rtsne s2 S7 sass scales scs sf sgeostat shiny shinycssloaders shinythemes slam sourcetools sp spatstat.data spatstat.geom spatstat.random spatstat.sparse spatstat.univar spatstat.utils spinifex splancs stringi stringr sys tensor tibble tidyr tidyselect tinytex tourr transformr tweenr units utf8 vctrs viridisLite withr wk xfun xtable yaml

Getting started with cheem

Rendered fromgetting-started-with-cheem.Rmdusingknitr::rmarkdown

Last update: 2023-11-08
Started: 2022-01-18

Help page	Topics
Ames random forest model predictions and shap values	ames_rf_pred ames_rf_shap
Ames housing data 2018	amesHousing2018 amesHousing2018_NorthAmes amesHousing2018_raw
Assure a full length logical index	as_logical_index
Preprocessing for use in shiny app	cheem_ls
Chocolates dataset	chocolates
Chocolate svm model predictions and shap values	chocolates_svm_pred chocolates_svm_shap
Suggest a color and fill scale.	color_scale_of colour_scale_of
Check if a vector contains non-numeric character	contains_nonnumeric
Development message	devMessage
Linked 'plotly' display, global view of data and attribution space.	global_view
Create the plot data.frame for the global linked plotly display.	global_view_df_1layer
The legwork behind the scenes for the global view	global_view_legwork
Evaluate if development	ifDev
Check if a vector is discrete	is_discrete
Check if a vector diverges a value	is_diverging
Linear function to help set alpha opacity	linear_tform
Logistic function to help set alpha opacity	logistic_tform
Extract higher level model performance statistics	model_performance
Penguins xgb model predictions and shap values	penguin_xgb_pred penguin_xgb_shap
The type of model for a given Y variable	problem_type
Adds the distribution of the row local attributions to a ggtour	proto_basis1d_distribution
Cheem tour; 1D manual tour on the selected attribution	radial_cheem_tour
Runs a shiny app demonstrating manual tours	run_app
Subset a cheem list	subset_cheem
Suggest a 1D Basis	sug_basis
Suggest a manipulation variable	sug_manip_var

Package: cheem 0.4.2

cheem: Interactively Explore Local Explanations with the Radial Tour

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