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:10.48550/arXiv.2209.15045>, Barnhill et al. (2023) <doi:10.48550/arXiv.2303.02539>, Barnhill and Yoshida (2023) <doi:10.3390/math11153433>, Aliatimis et al. (2023) <doi:10.48550/arXiv.2306.08796>, Yoshida et al. (2022) <doi:10.48550/arXiv.2206.04206>, and Yoshida et al. (2019) <doi:10.1007/s11538-018-0493-4>.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: MASS, Matrix, RcppAlgos, Rfast, combinat, gtools, lpSolve, lpSolveAPI, magick, miscTools, phangorn, rcdd, rgl, ape, phytools, maps, cluster, ROCR, stringr, stats
Published: 2023-12-14
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_1.2.0.tar.gz
Windows binaries: r-prerel: TML_1.2.0.zip, r-release: TML_1.2.0.zip, r-oldrel: TML_1.2.0.zip
macOS binaries: r-prerel (arm64): TML_1.2.0.tgz, r-release (arm64): TML_1.2.0.tgz, r-oldrel (arm64): TML_1.2.0.tgz, r-prerel (x86_64): TML_1.2.0.tgz, r-release (x86_64): TML_1.2.0.tgz
Old sources: TML archive

Linking:

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