[aut, cre]Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu (2019) <arXiv:1909.07266>.
| Version: | 0.1-1 |
| Depends: | R (≥ 3.0.0), spatstat (≥ 1.50-0) |
| Imports: | grDevices, graphics, stats, Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2019-12-13 |
| Author: | Raoul Müller [aut],
Dominic Schuhmacher
[aut, cre] |
| Maintainer: | Dominic Schuhmacher <dominic.schuhmacher at mathematik.uni-goettingen.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | ttbary citation info |
| Materials: | NEWS |
| CRAN checks: | ttbary results |
| Reference manual: | ttbary.pdf |
| Package source: | ttbary_0.1-1.tar.gz |
| Windows binaries: | r-devel: ttbary_0.1-1.zip, r-release: ttbary_0.1-1.zip, r-oldrel: ttbary_0.1-1.zip |
| macOS binaries: | r-release: ttbary_0.1-1.tgz, r-oldrel: ttbary_0.1-1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ttbary to link to this page.