Computes Euclidean Minimum Spanning Trees (EMST) using the fast Dual-Tree Boruvka algorithm (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>) implemented in 'mlpack' - the C++ Machine Learning library (Curtin et al., 2013). 'emstreeR' heavily relies on 'RcppMLPACK' and 'Rcpp', working as a wrapper to the C++ fast EMST algorithm. Thus, R users do not have to deal with the R-'Rcpp'-C++ integration. The package also provides functions and an S3 method for readily plotting Minimum Spanning Trees (MST) using either 'base' R, 'scatterplot3d' or 'ggplot2' style.
| Version: | 2.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 0.12.18), scatterplot3d, ggplot2, BBmisc |
| LinkingTo: | Rcpp, RcppMLPACK, RcppArmadillo, BH |
| Published: | 2019-05-08 |
| Author: | Allan Quadros [aut, cre], Andre Cancado [ctb] |
| Maintainer: | Allan Quadros <allanvcq at gmail.com> |
| BugReports: | https://github.com/allanvc/emstreeR/issues |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 compiler. |
| Materials: | README NEWS |
| CRAN checks: | emstreeR results |
| Reference manual: | emstreeR.pdf |
| Package source: | emstreeR_2.2.0.tar.gz |
| Windows binaries: | r-devel: emstreeR_2.2.0.zip, r-devel-gcc8: emstreeR_2.2.0.zip, r-release: emstreeR_2.2.0.zip, r-oldrel: emstreeR_2.2.0.zip |
| OS X binaries: | r-release: emstreeR_2.2.0.tgz, r-oldrel: emstreeR_2.2.0.tgz |
| Old sources: | emstreeR archive |
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