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tabularMLC  

Tabular Maximum Likelihood Classifier
View on CRAN: Click here


Download and install tabularMLC package within the R console
Install from CRAN:
install.packages("tabularMLC")

Install from Github:
library("remotes")
install_github("cran/tabularMLC")

Install by package version:
library("remotes")
install_version("tabularMLC", "0.0.3")



Attach the package and use:
library("tabularMLC")
Maintained by
Caio Hamamura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-05
Latest Update: 2021-10-05
Description:
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.
How to cite:
Caio Hamamura (2021). tabularMLC: Tabular Maximum Likelihood Classifier. R package version 0.0.3, https://cran.r-project.org/web/packages/tabularMLC
Previous versions and publish date:
No previous versions
Other packages that cited tabularMLC R package
View tabularMLC citation profile
Other R packages that tabularMLC depends, imports, suggests or enhances
Functions, R codes and Examples using the tabularMLC R package
Some associated functions: MLC.model-class . MLC . predict . tabularMLC-package . 
Some associated R codes: MLC.R . RcppExports.R . tabularMLC.R . zzz.R .  Full tabularMLC package functions and examples
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