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emstreeR  

Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("emstreeR", "3.1.2")



Attach the package and use:
library("emstreeR")
Maintained by
Allan Quadros
[Scholar Profile | Author Map]
First Published: 2018-12-03
Latest Update: 2023-11-14
Description:
Fast and easily computes an Euclidean Minimum Spanning Tree (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, ), which is theoretically and empirically the fastest algorithm for computing an EMST. This package also provides functions and an S3 method for readily visualizing Minimum Spanning Trees (MST) using either the style of the 'base', 'scatterplot3d', or 'ggplot2' libraries; and functions to export the MST output to shapefiles.
How to cite:
Allan Quadros (2018). emstreeR: Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees. R package version 3.1.2, https://cran.r-project.org/web/packages/emstreeR. Accessed 07 May. 2025.
Previous versions and publish date:
2.0.0 (2018-12-03 20:40), 2.1.0 (2018-12-06 09:50), 2.1.1 (2019-01-20 00:00), 2.1.2 (2019-03-17 19:40), 2.2.0 (2019-05-08 06:50), 2.2.2 (2020-11-30 14:40), 3.0.0 (2022-03-21 09:50)
Other packages that cited emstreeR R package
View emstreeR citation profile
Other R packages that emstreeR depends, imports, suggests or enhances
Complete documentation for emstreeR
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