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.

Getting started

Package details

AuthorKatherine Moore [aut] (<https://orcid.org/0000-0001-6943-2416>), Kenneth Berenhaut [aut], Lucy D'Agostino McGowan [aut, cre] (<https://orcid.org/0000-0001-7297-9359>)
MaintainerLucy D'Agostino McGowan <lucydagostino@gmail.com>
LicenseMIT + file LICENSE
Version0.0.4
URL https://github.com/LucyMcGowan/pald
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pald")

Try the pald package in your browser

Any scripts or data that you put into this service are public.

pald documentation built on May 29, 2024, 11:03 a.m.