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ttbary
View on CRAN: Click
here
Download and install ttbary package within the R console
Install from CRAN:
install.packages("ttbary")
Install from Github:
library("remotes")
install_github("cran/ttbary") Install by package version:
library("remotes")
install_version("ttbary", "0.3-2") Attach the package and use:
library("ttbary")
Maintained by
Dominic Schuhmacher
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-13
Latest Update: 2025-09-01
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) <doi:10.1007/s11222-020-09932-y>.
How to cite:
Dominic Schuhmacher (2019). ttbary: Barycenter Methods for Spatial Point Patterns. R package version 0.3-2, https://cran.r-project.org/web/packages/ttbary. Accessed 15 Sep. 2026.
Previous versions and publish date:
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Other R packages that ttbary depends,
imports, suggests or enhances
Complete documentation for ttbary
Functions, R codes and Examples using
the ttbary R package
Some associated functions: drezner . kmeansbary . kmeansbaryeps . kmeansbarynet . kmeansbaryweightnet . netsplit . plotmatch . ppdist . ppdistnet . pplist-data . sumppdist . sumppdistnet .
Some associated R codes: RcppExports.R . data.R . kmeansbary.R . ppdist.R . Full ttbary package functions and examples
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