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dtGAP: Supervised Generalized Association Plots Based on Decision Trees

Enhances decision tree visualization by incorporating Generalized Association Plots (GAP) through matrix-based visualizations including confusion matrix maps, decision tree matrix maps, and predicted class membership maps based on supervised correlation and distance metrics.

Version: 0.0.2
Depends: R (≥ 4.1.0)
Imports: C50, caret, circlize, ComplexHeatmap, dplyr, ggparty, grDevices, grid, magrittr, partykit, RColorBrewer, rlang, rpart, seriation, stats, stringr, utils, yardstick
Suggests: InteractiveComplexHeatmap, testthat (≥ 3.0.0)
Published: 2026-02-18
DOI: 10.32614/CRAN.package.dtGAP (may not be active yet)
Author: Chia-Yu Chang [aut], Chun-houh Chen [aut], Han-Ming Wu [cre, aut]
Maintainer: Han-Ming Wu <wuhm at g.nccu.edu.tw>
BugReports: https://github.com/hanmingwu1103/dtGAP/issues
License: MIT + file LICENSE
URL: https://github.com/hanmingwu1103/dtGAP, https://CRAN.R-project.org/package=dtGAP
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dtGAP results

Documentation:

Reference manual: dtGAP.html , dtGAP.pdf

Downloads:

Package source: dtGAP_0.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): dtGAP_0.0.2.tgz, r-oldrel (arm64): dtGAP_0.0.2.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dtGAP to link to this page.

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.