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: | 0.2-0 |
Depends: | R (≥ 3.0.0), spatstat (≥ 2.0-0) |
Imports: | spatstat.geom, spatstat.core, spatstat.linnet, grDevices, graphics, stats, Rcpp |
LinkingTo: | Rcpp |
Published: | 2021-03-21 |
Author: | Raoul Müller [aut],
Dominic Schuhmacher
|
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 |
Reference manual: | ttbary.pdf |
Package source: | ttbary_0.2-0.tar.gz |
Windows binaries: | r-devel: ttbary_0.2-0.zip, r-devel-UCRT: ttbary_0.2-0.zip, r-release: ttbary_0.2-0.zip, r-oldrel: ttbary_0.2-0.zip |
macOS binaries: | r-release (arm64): ttbary_0.2-0.tgz, r-release (x86_64): ttbary_0.2-0.tgz, r-oldrel: ttbary_0.2-0.tgz |
Old sources: | ttbary archive |
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