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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: |
0.3-1 |
| 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: |
2022-11-16 |
| 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 |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
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