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>.
testthat (>= 2.0.0), knitr, rmarkdown, covr

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"))
Raoul Wadhwa [aut, cre],
Andrew Dhawan [aut],
Drew Williamson [aut],
Jacob Scott [aut],
Jason Cory Brunson [ctb],
Shota Ochi [ctb]

Vector Summaries of Persistence Diagrams
c(
person("Umar","Islambekov", email = "iumar@bgsu.edu", role=c("aut")),
person("Alexey", "Luchinsky", email = "aluchi@bgsu.edu", role = c("aut", "cre")),
person("Hasani", "Pathirana", email = "pathirh@bgsu.edu", role = "ctb")
)
Tools for computing various vector summaries of persistence diagrams
studied in Topological Data Analysis. For improved computational efficiency,
all code for the vector summaries is written in 'C++' using the 'Rcpp' package.
Umar Islambekov [aut],
Alexey Luchinsky [aut, cre],
Hasani Pathirana [ctb]