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
tabularMLC_0.0.3.zip(r-4.5)tabularMLC_0.0.3.zip(r-4.4)tabularMLC_0.0.3.zip(r-4.3)
tabularMLC_0.0.3.tgz(r-4.4-x86_64)tabularMLC_0.0.3.tgz(r-4.4-arm64)tabularMLC_0.0.3.tgz(r-4.3-x86_64)tabularMLC_0.0.3.tgz(r-4.3-arm64)
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://caiohamamura.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

On CRAN:

1 exports 1 stars 0.73 score 2 dependencies 184 downloads

Last updated 3 years agofrom:e30a74cb08. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64NOTESep 07 2024
R-4.5-linux-x86_64NOTESep 07 2024
R-4.4-win-x86_64NOTESep 07 2024
R-4.4-mac-x86_64NOTESep 07 2024
R-4.4-mac-aarch64NOTESep 07 2024
R-4.3-win-x86_64NOTESep 07 2024
R-4.3-mac-x86_64NOTESep 07 2024
R-4.3-mac-aarch64NOTESep 07 2024

Exports:MLC

Dependencies:RcppRcppArmadillo