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 + fileLICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| CRAN checks: | repsim results |
| Reference manual: | repsim.html ,repsim.pdf |
| Package source: | repsim_0.1.0.tar.gz |
| Windows binaries: | r-devel:repsim_0.1.0.zip, 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 |
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