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 ORCID iD [aut, cre]
Maintainer: Caio Hamamura <caiohamamura at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tabularMLC results


Reference manual: tabularMLC.pdf


Package source: tabularMLC_0.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.