Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. The main tool of topological data analysis is persistent homology, which computes a topological shape descriptor of a dataset called a persistence diagram. 'TDApplied' provides useful and efficient methods for analyzing groups of persistence diagrams with machine learning and statistical inference, and these functions can also interface with other data science packages to form flexible and integrated topological data analysis pipelines.
| Version: | 3.0.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | parallel, doParallel, foreach, clue, rdist, parallelly, kernlab, iterators, methods, stats, utils, Rcpp (≥ 0.11.0) |
| LinkingTo: | Rcpp |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0), TDAstats, reticulate, TDA, igraph |
| Published: | 2024-10-29 |
| DOI: | 10.32614/CRAN.package.TDApplied |
| Author: | Shael Brown [aut, cre], Dr. Reza Farivar [aut, fnd] |
| Maintainer: | Shael Brown <shaelebrown at gmail.com> |
| BugReports: | https://github.com/shaelebrown/TDApplied/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/shaelebrown/TDApplied |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | TDApplied results |
| Reference manual: | TDApplied.pdf |
| Vignettes: |
Human Connectome Project Analysis (source, R code) TDApplied Theory and Practice (source, R code) Benchmarking and Speedups (source, R code) Comparing Distance Calculations (source, R code) Personalized Analyses with TDApplied (source, R code) |
| Package source: | TDApplied_3.0.4.tar.gz |
| Windows binaries: | r-devel: TDApplied_3.0.4.zip, r-release: TDApplied_3.0.4.zip, r-oldrel: TDApplied_3.0.4.zip |
| macOS binaries: | r-release (arm64): TDApplied_3.0.4.tgz, r-oldrel (arm64): TDApplied_3.0.4.tgz, r-release (x86_64): TDApplied_3.0.4.tgz, r-oldrel (x86_64): TDApplied_3.0.4.tgz |
| Old sources: | TDApplied archive |
Please use the canonical form https://CRAN.R-project.org/package=TDApplied to link to this page.