The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.tabularMLC
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-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:

Please use the canonical form https://CRAN.R-project.org/package=tabularMLC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.