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ttbary (version 0.3-2)

Barycenter Methods for Spatial Point Patterns

Description

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) .

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Version

Install

install.packages('ttbary')

Monthly Downloads

205

Version

0.3-2

License

GPL (>= 2)

Maintainer

Dominic Schuhmacher

Last Published

August 28th, 2025

Functions in ttbary (0.3-2)

pplist-data

Simulated Point Pattern Lists
netsplit

Incorporate Point Patterns into a Network
plotmatch

Plot Optimal Matching between Two Point Patterns
ppdist

Compute Distance Between Two Point Patterns
drezner

Run an Improved Version of the Algorithm by Drezner, Mehrez and Wesolowsky for Finding Barycenters Based on Limited Distances
kmeansbaryweightnet

Compute weighted Pseudo-Barycenter of a List of Point Patterns on a Network
kmeansbarynet

Compute Pseudo-Barycenter of a List of Point Patterns on a Network
ppdistnet

Compute Distance Between Two Point Patterns on a Network
kmeansbary

Compute Pseudo-Barycenter of a List of Point Patterns
kmeansbaryeps

Compute Pseudo-Barycenter of a List of Point Patterns (with epsilon-relaxation)
sumppdist

Compute Sum of q-th Powers of Distances Between a Point Pattern and a List of Point Patterns
sumppdistnet

Compute Sum of q-th Powers of Distances Between a Point Pattern and a Collection of Point Patterns on a Network