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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>.
| Version: |
0.4.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
spinifex (≥ 0.3.3), ggplot2, plotly, magrittr, shiny, shinythemes, shinycssloaders, DT, conflicted |
| Suggests: |
methods, tourr, lqmm, mvtnorm, gganimate, dplyr, tidyr, tictoc, beepr, knitr, testthat (≥ 3.0.0), rmarkdown |
| Published: |
2023-11-08 |
| Author: |
Nicholas Spyrison 
[aut, cre] |
| Maintainer: |
Nicholas Spyrison <spyrison at gmail.com> |
| BugReports: |
https://github.com/nspyrison/cheem/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/nspyrison/cheem/,
https://nspyrison.github.io/cheem/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
cheem results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=cheem
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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.
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