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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, <doi:10.1145/1835804.1835882>), 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.
| Version: | 3.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | mlpack, scatterplot3d, ggplot2, graphics, stats, sf |
| Published: | 2023-11-14 |
| DOI: | 10.32614/CRAN.package.emstreeR |
| Author: | Allan Quadros [aut, cre], Duncan Garmonsway [ctb] |
| Maintainer: | Allan Quadros <allanvcq at gmail.com> |
| BugReports: | https://github.com/allanvc/emstreeR/issues/ |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | emstreeR results |
| Reference manual: | emstreeR.pdf |
| Package source: | emstreeR_3.1.2.tar.gz |
| Windows binaries: | r-devel: emstreeR_3.1.2.zip, r-release: emstreeR_3.1.2.zip, r-oldrel: emstreeR_3.1.2.zip |
| macOS binaries: | r-release (arm64): emstreeR_3.1.2.tgz, r-oldrel (arm64): emstreeR_3.1.2.tgz, r-release (x86_64): emstreeR_3.1.2.tgz, r-oldrel (x86_64): emstreeR_3.1.2.tgz |
| Old sources: | emstreeR archive |
| Reverse imports: | wflo |
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