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 (may not be active yet) |
| 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.