Package: tabularMLC 0.0.3

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.

Authors:Caio Hamamura [aut, cre]

tabularMLC_0.0.3.tar.gz
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tabularMLC.pdf |tabularMLC.html✨
tabularMLC/json (API)
NEWS

# Install 'tabularMLC' in R:
install.packages('tabularMLC', repos = c('https://caiohamamura.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/caiohamamura/tabularmlc/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda-Forge:

openblascppopenmp

2.00 score 1 stars 146 downloads 1 exports 2 dependencies

Last updated 12 days agofrom:cd9cc191cc. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-win-x86_64NOTEFeb 22 2025
R-4.5-mac-x86_64NOTEFeb 22 2025
R-4.5-mac-aarch64NOTEFeb 22 2025
R-4.5-linux-x86_64NOTEFeb 22 2025
R-4.4-win-x86_64NOTEFeb 22 2025
R-4.4-mac-x86_64NOTEFeb 22 2025
R-4.4-mac-aarch64NOTEFeb 22 2025
R-4.3-win-x86_64NOTEFeb 22 2025
R-4.3-mac-x86_64NOTEFeb 22 2025
R-4.3-mac-aarch64NOTEFeb 22 2025

Exports:MLC

Dependencies:RcppRcppArmadillo