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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