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:
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')) |
- pplist_diffcard - Simulated Point Pattern Lists
- pplist_samecard - Simulated Point Pattern Lists
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:410467ec36. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 22 2024 |
Exports:dreznerkmeansbarykmeansbaryepskmeansbarynetkmeansbaryweightnetnetsplitplotmatchppdistppdistnetsumppdistsumppdistnet
Dependencies:abinddeldirgoftestlatticeMatrixmgcvnlmepolyclipRcpprpartspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor
