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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>.
Getting started
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Package details |
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| Author | Raoul Müller [aut], Dominic Schuhmacher [aut, cre] (<https://orcid.org/0000-0001-7079-6313>) |
| Maintainer | Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de> |
| License | GPL (>= 2) |
| Version | 0.3-1 |
| Package repository | View on CRAN |
| Installation |
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