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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