Package: earthmovdist 0.1.3

earthmovdist: Wrapper to the 'Emd-L1' Library by Haibin Ling and Kazunori Okada

The 'Emd-L1' distance metric from the paper by H. Ling and K. Okada, An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison, IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 29(5):840-853, 2007, is provided for use by R. It is based on code downloaded from the URL <http://www.ist.temple.edu/~hbling/code/EmdL1_v3.zip>.

Authors:Rainer M Krug <[email protected]> and Dirk Eddelbuettel <[email protected]>

earthmovdist_0.1.3.tar.gz
earthmovdist_0.1.3.zip(r-4.5)earthmovdist_0.1.3.zip(r-4.4)earthmovdist_0.1.3.zip(r-4.3)
earthmovdist_0.1.3.tgz(r-4.4-x86_64)earthmovdist_0.1.3.tgz(r-4.4-arm64)earthmovdist_0.1.3.tgz(r-4.3-x86_64)earthmovdist_0.1.3.tgz(r-4.3-arm64)
earthmovdist_0.1.3.tar.gz(r-4.5-noble)earthmovdist_0.1.3.tar.gz(r-4.4-noble)
earthmovdist_0.1.3.tgz(r-4.4-emscripten)earthmovdist_0.1.3.tgz(r-4.3-emscripten)
earthmovdist.pdf |earthmovdist.html✨
earthmovdist/json (API)

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

Peer review:

Bug tracker:https://github.com/eddelbuettel/earthmovdist/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

2.60 score 8 stars 5 scripts 1 exports 1 dependencies

Last updated 7 years agofrom:8950bdc869. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64NOTENov 04 2024
R-4.5-linux-x86_64NOTENov 04 2024
R-4.4-win-x86_64NOTENov 04 2024
R-4.4-mac-x86_64NOTENov 04 2024
R-4.4-mac-aarch64NOTENov 04 2024
R-4.3-win-x86_64NOTENov 04 2024
R-4.3-mac-x86_64NOTENov 04 2024
R-4.3-mac-aarch64NOTENov 04 2024

Exports:emdL1

Dependencies:Rcpp