tabularMLC: Tabular Maximum Likelihood Classifier
The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) <doi:10.1080/01431168508948456> method.
| Version: | 0.0.3 |
| Depends: | Rcpp, methods |
| Imports: | stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2021-10-05 |
| Author: | Caio Hamamura 
[aut, cre] |
| Maintainer: | Caio Hamamura <caiohamamura at gmail.com> |
| BugReports: | https://github.com/caiohamamura/tabularMLC/issues |
| License: | GPL-3 |
| URL: | https://github.com/caiohamamura/tabularMLC |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | tabularMLC results |
Documentation:
| Reference manual: | tabularMLC.pdf |
Downloads:
| Package source: | tabularMLC_0.0.3.tar.gz |
| Windows binaries: | r-devel: tabularMLC_0.0.3.zip, r-release: tabularMLC_0.0.3.zip, r-oldrel: tabularMLC_0.0.3.zip |
| macOS binaries: | r-release (arm64): tabularMLC_0.0.3.tgz, r-oldrel (arm64): tabularMLC_0.0.3.tgz, r-release (x86_64): tabularMLC_0.0.3.tgz, r-oldrel (x86_64): tabularMLC_0.0.3.tgz |
Linking:
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