Package: prime 0.5.5

Youngseo Cho

prime: Proportional Inclusive Marginal Effects

Implements a model-free variable importance measure based on proportional marginal effects estimated from noisy input-output data. See Cho and Joseph (2026) <doi:10.48550/arXiv.2610.17053> for details.

Authors:Youngseo Cho [aut, cre, cph], V. Roshan Joseph [aut, cph]

prime_0.5.5.tar.gz
prime_0.5.5.zip(r-4.7-x86_64)prime_0.5.5.zip(r-4.7-arm64)prime_0.5.5.zip(r-4.6-x86_64)prime_0.5.5.zip(r-4.6-arm64)
prime_0.5.5.tar.gz(r-4.7-arm64)prime_0.5.5.tar.gz(r-4.7-x86_64)prime_0.5.5.tar.gz(r-4.6-arm64)prime_0.5.5.tar.gz(r-4.6-x86_64)
prime_0.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
prime/json (API)

# Install 'prime' in R:
install.packages('prime', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/choyoungseo/prime-importance-r/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

1.71 score 51 scripts 3 exports 4 dependencies

Last updated from:457262bf80. Checks:9 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK100
linux-devel-x86_64OK122
source / vignettesOK243
linux-release-arm64OK115
linux-release-x86_64ERROR125
windows-devel-arm64OK218
windows-devel-x86_64OK150
windows-release-arm64OK225
windows-release-x86_64OK123
wasm-releaseOK112

Exports:primeprime_allocateprime_screen

Dependencies:FNNMASSRcppRcppArmadillo