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:	0.0.4
Depends:	R (≥ 2.10)
Imports:	igraph, graphics, glue
Suggests:	testthat (≥ 3.0.0)
Published:	2024-04-18
DOI:	10.32614/CRAN.package.pald
Author:	Katherine Moore [aut], Kenneth Berenhaut [aut], Lucy D'Agostino McGowan [aut, cre]
Maintainer:	Lucy D'Agostino McGowan <lucydagostino at gmail.com>
BugReports:	https://github.com/LucyMcGowan/pald/issues
License:	MIT + file LICENSE
URL:	https://github.com/LucyMcGowan/pald
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	pald results

Documentation:

Reference manual:

pald.pdf

Downloads:

Package source:	pald_0.0.4.tar.gz
Windows binaries:	r-devel: pald_0.0.4.zip, r-release: pald_0.0.4.zip, r-oldrel: pald_0.0.4.zip
macOS binaries:	r-release (arm64): pald_0.0.4.tgz, r-oldrel (arm64): pald_0.0.4.tgz, r-release (x86_64): pald_0.0.4.tgz, r-oldrel (x86_64): pald_0.0.4.tgz
Old sources:	pald archive

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