catsim: Binary and Categorical Image Similarity Index

Computes a structural similarity metric (after the style of MS-SSIM for images) for binary and categorical 2D and 3D images. Can be based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted Rand index, Jaccard index, Dice index, normalized mutual information, or adjusted mutual information. In addition, has fast computation of Cohen's kappa, the Rand indices, and the two mutual informations. Implements the methods of Thompson and Maitra (2020) <arXiv:2004.09073>.

Version: 0.2.3
Depends: R (≥ 2.10)
Imports: Rcpp
LinkingTo: Rcpp, testthat
Suggests: testthat, covr, knitr, rmarkdown
Published: 2020-12-16
Author: Geoffrey Thompson ORCID iD [aut, cre]
Maintainer: Geoffrey Thompson <gzthompson at gmail.com>
BugReports: https://github.com/gzt/catsim/issues
License: GPL-3
URL: https://github.com/gzt/catsim, https://gzt.github.io/catsim/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: catsim results

Downloads:

Reference manual: catsim.pdf
Vignettes: Two-dimensional-examples-of-catsim
Package source: catsim_0.2.3.tar.gz
Windows binaries: r-devel: catsim_0.2.3.zip, r-devel-UCRT: catsim_0.2.3.zip, r-release: catsim_0.2.3.zip, r-oldrel: catsim_0.2.3.zip
macOS binaries: r-release (arm64): catsim_0.2.3.tgz, r-release (x86_64): catsim_0.2.3.tgz, r-oldrel: catsim_0.2.3.tgz
Old sources: catsim archive

Linking:

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