pald: Partitioned Local Depth for Community Structure in Data

Implementation of the Partitioned Local Depth (PaLD) approach which provides a measure of local depth and the cohesion of a point to another which (together with a universal threshold for distinguishing strong and weak ties) may be used to reveal local and global structure in data, based on methods described in Berenhaut, Moore, and Melvin (2022) <doi:10.1073/pnas.2003634119>. No extraneous inputs, distributional assumptions, iterative procedures nor optimization criteria are employed. This package includes functions for computing local depths and cohesion as well as flexible functions for plotting community networks and displays of cohesion against distance.

Version: 0.0.2
Depends: R (≥ 2.10)
Imports: igraph, graphics, glue
Suggests: testthat (≥ 3.0.0)
Published: 2022-06-03
Author: Katherine Moore ORCID iD [aut], Kenneth Berenhaut [aut], Lucy D'Agostino McGowan ORCID iD [aut, cre]
Maintainer: Lucy D'Agostino McGowan <lucydagostino at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pald results


Reference manual: pald.pdf


Package source: pald_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pald_0.0.2.tgz, r-oldrel (arm64): pald_0.0.2.tgz, r-release (x86_64): pald_0.0.2.tgz, r-oldrel (x86_64): pald_0.0.2.tgz
Old sources: pald archive


Please use the canonical form to link to this page.