Package: tabularMLC 0.0.3

Caio Hamamura

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
tabularMLC_0.0.3.tar.gz(r-4.5-noble)tabularMLC_0.0.3.tar.gz(r-4.4-noble)
tabularMLC_0.0.3.tgz(r-4.4-emscripten)tabularMLC_0.0.3.tgz(r-4.3-emscripten)
tabularMLC.pdf |tabularMLC.html
tabularMLC/json (API)
NEWS

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

Peer review:

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

openblascppopenmp

1.00 score 124 downloads 1 exports 2 dependencies

Last updated 3 years agofrom:60f9994c93. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linux-x86_64NOTEDec 22 2024

Exports:MLC

Dependencies:RcppRcppArmadillo