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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3-2 |
rolling linux/jammy R-4.5 | ttbary_0.3-2.tar.gz |
390.1 KiB |
0.3-2 |
rolling linux/noble R-4.5 | ttbary_0.3-2.tar.gz |
393.9 KiB |
0.3-2 |
rolling source/ R- | ttbary_0.3-2.tar.gz |
162.7 KiB |
0.3-2 |
latest linux/jammy R-4.5 | ttbary_0.3-2.tar.gz |
390.1 KiB |
0.3-2 |
latest linux/noble R-4.5 | ttbary_0.3-2.tar.gz |
393.9 KiB |
0.3-2 |
latest source/ R- | ttbary_0.3-2.tar.gz |
162.7 KiB |
0.3-2 |
2026-04-26 source/ R- | ttbary_0.3-2.tar.gz |
162.7 KiB |
0.3-2 |
2026-04-23 source/ R- | ttbary_0.3-2.tar.gz |
162.7 KiB |
0.3-2 |
2026-04-09 windows/windows R-4.5 | ttbary_0.3-2.zip |
702.1 KiB |
0.3-1 |
2025-04-20 source/ R- | ttbary_0.3-1.tar.gz |
163.4 KiB |