ttbary: Barycenter Methods for Spatial Point Patterns
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 (2020) <doi:10.1007/s11222-020-09932-y>.
| Version: | 0.3-2 |
| Depends: | R (≥ 3.5.0),spatstat (≥ 3.0-0) |
| Imports: | spatstat.geom,spatstat.explore,spatstat.model,spatstat.random,spatstat.linnet, grDevices, graphics, stats,Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2025-08-28 |
| DOI: | 10.32614/CRAN.package.ttbary |
| 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 |
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