TML: Tropical Geometry Tools for Machine Learning
Suite of tropical geometric tools for use in machine learning applications. These methods may be summarized in the following references: Yoshida, et al. (2022) <doi:10.2140/astat.2023.14.37>, Barnhill et al. (2023) <doi:10.48550/arXiv.2303.02539>, Barnhill and Yoshida (2023) <doi:10.3390/math11153433>, Aliatimis et al. (2023) <doi:10.1007/s11538-024-01327-8>, Yoshida et al. (2022) <doi:10.1109/TCBB.2024.3420815>, and Yoshida et al. (2019) <doi:10.1007/s11538-018-0493-4>.
| Version: | 2.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS,Matrix,RcppAlgos,Rfast,combinat,gtools,lpSolve,lpSolveAPI,miscTools,phangorn,rcdd,rgl,ape,phytools,maps,cluster,ROCR, stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-07-29 |
| DOI: | 10.32614/CRAN.package.TML |
| Author: | David Barnhill [aut, cre], Ruriko Yoshida [aut], Georgios Aliatimis [aut], Keiji Miura [aut] |
| Maintainer: | David Barnhill <david.barnhill at nps.edu> |
| BugReports: | https://github.com/barnhilldave/TML/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/barnhilldave/TML |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | TML results |
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