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 (2019) <arXiv:1909.07266>.

Version: 0.1-1
Depends: R (≥ 3.0.0), spatstat (≥ 1.50-0)
Imports: grDevices, graphics, stats, Rcpp
LinkingTo: Rcpp
Published: 2019-12-13
Author: Raoul Müller [aut], Dominic Schuhmacher ORCID iD [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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Reference manual: ttbary.pdf
Package source: ttbary_0.1-1.tar.gz
Windows binaries: r-devel: ttbary_0.1-1.zip, r-devel-gcc8: ttbary_0.1-1.zip, r-release: ttbary_0.1-1.zip, r-oldrel: ttbary_0.1-1.zip
OS X binaries: r-release: ttbary_0.1-1.tgz, r-oldrel: ttbary_0.1-1.tgz

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