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pald  

Partitioned Local Depth for Community Structure in Data
View on CRAN: Click here


Download and install pald package within the R console
Install from CRAN:
install.packages("pald")

Install from Github:
library("remotes")
install_github("cran/pald")

Install by package version:
library("remotes")
install_version("pald", "0.0.4")



Attach the package and use:
library("pald")
Maintained by
Lucy D'Agostino McGowan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-14
Latest Update: 2023-09-28
Description:
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) . 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.
How to cite:
Lucy D'Agostino McGowan (2022). pald: Partitioned Local Depth for Community Structure in Data. R package version 0.0.4, https://cran.r-project.org/web/packages/pald. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.1 (2022-04-14 11:20), 0.0.2 (2022-06-03 10:30), 0.0.3 (2023-09-28 22:00)
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