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
DOI: 10.32614/CRAN.package.ttbary
Author: Raoul Müller [aut], Dominic Schuhmacher ORCID iD [aut, cre]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: ttbary citation info
Materials: NEWS
CRAN checks: ttbary results


Reference manual: ttbary.pdf


Package source: ttbary_0.3-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ttbary_0.3-1.tgz, r-oldrel (arm64): ttbary_0.3-1.tgz, r-release (x86_64): ttbary_0.3-1.tgz, r-oldrel (x86_64): ttbary_0.3-1.tgz
Old sources: ttbary archive


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