| Name : R-TDAstats
| |
| Version : 0.4.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.14.10
| Date : 2024-07-18 14:42:06
|
| Group : Development/Libraries/Other
| Source RPM : R-TDAstats-0.4.1-lp153.14.10.src.rpm
|
| Size : 0.43 MB
| |
| Packager : (none)
| |
| Summary : Pipeline for Topological Data Analysis
|
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
