repsim: Measures of Representational Similarity Across Models

Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.

Version:	0.1.0
Imports:	Rcpp (≥ 1.1.0), Rdpack
LinkingTo:	Rcpp, RcppEigen
Published:	2025-11-07
DOI:	10.32614/CRAN.package.repsim
Author:	Kisung You [aut, cre]
Maintainer:	Kisung You <kisung.you at outlook.com>
License:	MIT + file LICENSE
NeedsCompilation:	yes
SystemRequirements:	C++17
CRAN checks:	repsim results

Documentation:

Reference manual:

repsim.html , repsim.pdf

Downloads:

Package source:	repsim_0.1.0.tar.gz
Windows binaries:	r-release: repsim_0.1.0.zip, r-oldrel: repsim_0.1.0.zip
macOS binaries:	r-release (arm64): repsim_0.1.0.tgz, r-oldrel (arm64): repsim_0.1.0.tgz, r-release (x86_64): repsim_0.1.0.tgz, r-oldrel (x86_64): repsim_0.1.0.tgz

Linking:

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