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: | 0.0.4 | 
| Depends: | Rcpp, methods | 
| Imports: | stats | 
| LinkingTo: | Rcpp, RcppArmadillo | 
| Published: | 2025-09-22 | 
| DOI: | 10.32614/CRAN.package.tabularMLC | 
| Author: | Caio Hamamura | 
| 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 | 
| Reference manual: | tabularMLC.html , tabularMLC.pdf | 
| Package source: | tabularMLC_0.0.4.tar.gz | 
| Windows binaries: | r-devel: tabularMLC_0.0.4.zip, r-release: tabularMLC_0.0.4.zip, r-oldrel: tabularMLC_0.0.4.zip | 
| macOS binaries: | r-release (arm64): tabularMLC_0.0.4.tgz, r-oldrel (arm64): tabularMLC_0.0.4.tgz, r-release (x86_64): tabularMLC_0.0.4.tgz, r-oldrel (x86_64): tabularMLC_0.0.4.tgz | 
| Old sources: | tabularMLC archive | 
Please use the canonical form https://CRAN.R-project.org/package=tabularMLC to link to this page.