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 [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:

Reference manual:

ttbary.pdf

Downloads:

Package source:	ttbary_0.3-1.tar.gz
Windows binaries:	r-devel: ttbary_0.3-1.zip, r-release: ttbary_0.3-1.zip, r-oldrel: ttbary_0.3-1.zip
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

Linking:

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