Measures of Representational Similarity Across Models
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 14%1 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 78%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 89% with a bibliography file
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-11-07 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-11-07
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 38 KB
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