Package: ttbary 0.3-1

Dominic Schuhmacher

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>.

Authors:Raoul Müller [aut], Dominic Schuhmacher [aut, cre]

ttbary_0.3-1.tar.gz
ttbary_0.3-1.tar.gz(r-4.5-noble)ttbary_0.3-1.tar.gz(r-4.4-noble)
ttbary.pdf |ttbary.html✨
ttbary/json (API)
NEWS

# Install 'ttbary' in R:
install.packages('ttbary', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 235 downloads 11 exports 21 dependencies

Last updated 2 years agofrom:410467ec36. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-linux-x86_64NOTEFeb 20 2025

Exports:dreznerkmeansbarykmeansbaryepskmeansbarynetkmeansbaryweightnetnetsplitplotmatchppdistppdistnetsumppdistsumppdistnet

Dependencies:abinddeldirgoftestlatticeMatrixmgcvnlmepolyclipRcpprpartspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor