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 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-devel-UCRT: 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-release (x86_64): tabularMLC_0.0.3.tgz, r-oldrel: tabularMLC_0.0.3.tgz

Linking:

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