Package: repsim 0.1.0

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.

Authors:Kisung You [aut, cre]

repsim_0.1.0.tar.gz
repsim_0.1.0.zip(r-4.7)repsim_0.1.0.zip(r-4.6)repsim_0.1.0.zip(r-4.5)
repsim_0.1.0.tgz(r-4.6-x86_64)repsim_0.1.0.tgz(r-4.6-arm64)repsim_0.1.0.tgz(r-4.5-x86_64)repsim_0.1.0.tgz(r-4.5-arm64)
repsim_0.1.0.tar.gz(r-4.7-arm64)repsim_0.1.0.tar.gz(r-4.7-x86_64)repsim_0.1.0.tar.gz(r-4.6-arm64)repsim_0.1.0.tar.gz(r-4.6-x86_64)
repsim_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
repsim/json (API)

# Install 'repsim' in R:
install.packages('repsim', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 4 scripts 137 downloads 9 exports 4 dependencies

Last updated from:f5686c9107. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK114
source / vignettesOK179
linux-release-arm64OK108
linux-release-x86_64OK111
macos-release-arm64OK116
macos-release-x86_64OK253
macos-oldrel-arm64OK96
macos-oldrel-x86_64OK202
windows-develOK106
windows-releaseOK117
windows-oldrelOK133
wasm-releaseOK107

Exports:ccackadot_producthsiclin_regpwccarepsim_hsicrepsim_kernelssvcca

Dependencies:rbibutilsRcppRcppEigenRdpack