Package: ttbary
Version: 0.3-1
Date: 2022-11-16
Title: Barycenter Methods for Spatial Point Patterns
Authors@R: c(person("Raoul", "Müller", email = "raoul.mueller@uni-goettingen.de", role = "aut"),
             person("Dominic", "Schuhmacher", email = "dominic.schuhmacher@mathematik.uni-goettingen.de", role = c("aut","cre"), comment = c(ORCID = "0000-0001-7079-6313")))
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>
Depends: R (>= 3.5.0), spatstat (>= 3.0-0)
LinkingTo: Rcpp
Imports: spatstat.geom, spatstat.explore, spatstat.model,
        spatstat.random, spatstat.linnet, grDevices, graphics, stats,
        Rcpp
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>.
LazyData: yes
Encoding: UTF-8
License: GPL (>= 2)
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-11-16 10:37:49 UTC; schumi
Author: Raoul Müller [aut],
  Dominic Schuhmacher [aut, cre]
    (<https://orcid.org/0000-0001-7079-6313>)
Repository: CRAN
Date/Publication: 2022-11-16 13:40:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 20:09:47 UTC; windows
Archs: i386, x64
