Package: TDApplied
Type: Package
Title: Machine Learning and Inference for Topological Data Analysis
Version: 3.0.4
Authors@R: c(person("Shael", "Brown", email = "shaelebrown@gmail.com", role = c("aut","cre")),
             person("Dr. Reza", "Farivar", email = "reza.farivar@mcgill.ca", role = c("aut","fnd")))
Author: Shael Brown [aut, cre], Dr. Reza Farivar [aut, fnd]
Maintainer: Shael Brown <shaelebrown@gmail.com>
Description: 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.
Depends: R (>= 3.5.0)
Imports: parallel, doParallel, foreach, clue, rdist, parallelly,
        kernlab, iterators, methods, stats, utils, Rcpp (>= 0.11.0)
License: GPL (>= 3)
URL: https://github.com/shaelebrown/TDApplied
BugReports: https://github.com/shaelebrown/TDApplied/issues
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.3.2
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), TDAstats, reticulate,
        TDA, igraph
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
Config/testthat/edition: 3
Repository: https://shaelebrown.r-universe.dev
Date/Publication: 2024-10-28 13:13:09 UTC
RemoteUrl: https://github.com/shaelebrown/tdapplied
RemoteRef: HEAD
RemoteSha: 1283762615d2aa50c66f992087ec88a088a5ec2a
Packaged: 2026-09-23 07:37:28 UTC; root