DESCRIPTION

Package: TDAstats
Type: Package
Title: Pipeline for Topological Data Analysis
Version: 0.4.1
Authors@R: c(
    person("Raoul", "Wadhwa", email = "raoulwadhwa@gmail.com", role = c("aut", "cre")),
    person("Andrew", "Dhawan", role = "aut"),
    person("Drew", "Williamson", role = "aut"),
    person("Jacob", "Scott", role = "aut"),
    person("Jason Cory", "Brunson", role = "ctb"),
    person("Shota", "Ochi", role = "ctb"))
Description: A comprehensive toolset for any
    useR conducting topological data analysis, specifically via the
    calculation of persistent homology in a Vietoris-Rips complex.
    The tools this package currently provides can be conveniently split
    into three main sections: (1) calculating persistent homology; (2)
    conducting statistical inference on persistent homology calculations;
    (3) visualizing persistent homology and statistical inference.
    The published form of TDAstats can be found in Wadhwa et al. (2018)
    <doi:10.21105/joss.00860>.   
    For a general background on computing persistent homology for
    topological data analysis, see Otter et al. (2017)
    <doi:10.1140/epjds/s13688-017-0109-5>.
    To learn more about how the permutation test is used for
    nonparametric statistical inference in topological data analysis,
    read Robinson & Turner (2017) <doi:10.1007/s41468-017-0008-7>.
    To learn more about how TDAstats calculates persistent homology,
    you can visit the GitHub repository for Ripser, the software that
    works behind the scenes at <https://github.com/Ripser/ripser>.
    This package has been published as Wadhwa et al. (2018)
    <doi:10.21105/joss.00860>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3)
Imports: ggplot2 (>= 2.2.1),
    Rcpp (>= 0.12.15)
URL: https://rrrlw.github.io/TDAstats
BugReports: https://github.com/rrrlw/TDAstats/issues
LinkingTo: Rcpp
RoxygenNote: 6.1.0
SystemRequirements: C++11
Suggests: testthat (>= 2.0.0),
    knitr,
    rmarkdown,
    covr
VignetteBuilder: knitr