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) method.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.0.3 by Caio Hamamura, 16 days ago

Report a bug at

Browse source code at

Authors: Caio Hamamura [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports stats

Depends on Rcpp, methods

Linking to Rcpp, RcppArmadillo

See at CRAN