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MuTATE: Multi-Target Automated Tree Engine (MuTATE)
Recursively partitions datasets on binary splits across
multiple targets having different dependent variable types, including
categorical, continuous, count, and survival outcomes. This overcomes
single-target limitations of traditional decision trees while
retaining model interpretability. See Ayton and Trevino (2023)
<doi:10.1093/bioinformatics/btad507> and Ayton et al. (2025)
<doi:10.1038/s44401-025-00025-4> for details.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
reshape2, matrixStats, survival, stringr, irr, Metrics, plotrix, scales, stats, caret, dplyr, igraph, ggraph, grDevices |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-08-21 |
| DOI: |
10.32614/CRAN.package.MuTATE |
| Author: |
Sarah Ayton  [aut,
cre, cph] |
| Maintainer: |
Sarah Ayton <sarahgabrielleayton at gmail.com> |
| BugReports: |
https://github.com/SarahAyton/MuTATE/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/SarahAyton/MuTATE |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
MuTATE citation info |
| Materials: |
README |
| CRAN checks: |
MuTATE results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MuTATE
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.