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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 ORCID iD [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 + file LICENSE
URL: https://github.com/barnhilldave/TML
NeedsCompilation: no
Materials: README
CRAN checks: TML results

Documentation:

Reference manual: TML.pdf

Downloads:

Package source: TML_2.3.0.tar.gz
Windows binaries: r-devel: TML_2.3.0.zip, r-release: TML_2.3.0.zip, r-oldrel: TML_2.3.0.zip
macOS binaries: r-release (arm64): TML_2.3.0.tgz, r-oldrel (arm64): TML_2.3.0.tgz, r-release (x86_64): TML_2.3.0.tgz, r-oldrel (x86_64): TML_2.3.0.tgz
Old sources: TML archive

Linking:

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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.