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pald
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", "0.0.5") Attach the package and use:
library("pald")
Maintained by
Lucy D'Agostino McGowan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-14
Latest Update: 2025-05-30
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 0.0.5, https://cran.r-project.org/web/packages/pald. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Other R packages that pald depends,
imports, suggests or enhances
Complete documentation for pald
Functions, R codes and Examples using
the pald R package
Some associated functions: aggregation . any_isolated . as_cohesion_matrix . cognate_dist . cohesion_matrix . cohesion_strong . community_clusters . community_graphs . cultures . dist_cohesion_plot . exdata1 . exdata2 . exdata3 . local_depths . noisy_circles . noisy_moons . pald . pald_colors . plot_community_graphs . strong_threshold . tissue_dist .
Some associated R codes: aggregation.R . cognate_dist.R . cultures.R . exdata1.R . exdata2.R . exdata3.R . noisy_circles.R . noisy_moons.R . pald_colors.R . pald_functions.R . tissue_dist.R . utils.R . Full pald package functions and examples
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