Package: rollshap 1.0

rollshap: Rolling Shapley Values

Analytical computation of rolling Shapley values for time-series data.

Authors:Jason Foster

rollshap_1.0.tar.gz
rollshap_1.0.zip(r-4.5)rollshap_1.0.zip(r-4.4)rollshap_1.0.zip(r-4.3)
rollshap_1.0.tgz(r-4.5-x86_64)rollshap_1.0.tgz(r-4.5-arm64)rollshap_1.0.tgz(r-4.4-x86_64)rollshap_1.0.tgz(r-4.4-arm64)rollshap_1.0.tgz(r-4.3-x86_64)rollshap_1.0.tgz(r-4.3-arm64)
rollshap_1.0.tar.gz(r-4.5-noble)rollshap_1.0.tar.gz(r-4.4-noble)
rollshap_1.0.tgz(r-4.4-emscripten)rollshap_1.0.tgz(r-4.3-emscripten)
rollshap.pdf |rollshap.html✨
rollshap/json (API)

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

Bug tracker:https://github.com/jasonjfoster/rollshap/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

algorithmsrcppshapleyopenblascppopenmp

2.78 score 3 stars 1 scripts 1 exports 4 dependencies

Last updated 1 months agofrom:8cecf61971. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-win-x86_64NOTEFeb 20 2025
R-4.5-mac-x86_64NOTEFeb 20 2025
R-4.5-mac-aarch64NOTEFeb 20 2025
R-4.5-linux-x86_64NOTEFeb 20 2025
R-4.4-win-x86_64NOTEFeb 20 2025
R-4.4-mac-x86_64NOTEFeb 20 2025
R-4.4-mac-aarch64NOTEFeb 20 2025
R-4.3-win-x86_64NOTEFeb 20 2025
R-4.3-mac-x86_64NOTEFeb 20 2025
R-4.3-mac-aarch64NOTEFeb 20 2025

Exports:roll_shap

Dependencies:RcppRcppArmadilloRcppParallelroll

Readme and manuals

Help Manual

Help pageTopics
Rolling Shapley Valuesrollshap-package rollshap
Rolling Shapley Valuesroll_shap