Package: tabularMLC 0.0.4

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_0.0.4.tar.gz
tabularMLC_0.0.4.zip(r-4.7)tabularMLC_0.0.4.zip(r-4.6)tabularMLC_0.0.4.zip(r-4.5)
tabularMLC_0.0.4.tgz(r-4.6-x86_64)tabularMLC_0.0.4.tgz(r-4.6-arm64)tabularMLC_0.0.4.tgz(r-4.5-x86_64)tabularMLC_0.0.4.tgz(r-4.5-arm64)
tabularMLC_0.0.4.tar.gz(r-4.7-arm64)tabularMLC_0.0.4.tar.gz(r-4.7-x86_64)tabularMLC_0.0.4.tar.gz(r-4.6-arm64)tabularMLC_0.0.4.tar.gz(r-4.6-x86_64)
tabularMLC_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

openblascppopenmp

3.00 score 1 stars 245 downloads 1 exports 2 dependencies

Last updated from:f8df951493. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK115
source / vignettesOK157
linux-release-arm64OK135
linux-release-x86_64OK104
macos-release-arm64OK87
macos-release-x86_64OK183
macos-oldrel-arm64OK70
macos-oldrel-x86_64OK162
windows-develOK106
windows-releaseOK92
windows-oldrelOK95
wasm-releaseOK94

Exports:MLC

Dependencies:RcppRcppArmadillo