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emstreeR
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
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Other R packages that emstreeR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the emstreeR R package
Some associated functions: ComputeMST . emstreeR-ggproto . export_edges_to_shapefile . export_vertices_to_shapefile . plot.MST . plotMST3D . stat_MST .
Some associated R codes: ComputeMST.R . data-check.R . export-edges-to-shapefile.R . export-vertices-to-shapefile.R . plot.MST.R . plotMST3D.R . stat-MST.R . zzz.R . Full emstreeR package functions and examples
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