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-4.4-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'))

Peer review:

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

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

On CRAN:

algorithmsrcppshapley

3.15 score 4 stars 1 scripts 1 exports 4 dependencies

Last updated 6 months agofrom:025121b530. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-win-x86_64NOTEAug 19 2024
R-4.5-linux-x86_64NOTEAug 19 2024
R-4.4-win-x86_64NOTEAug 19 2024
R-4.4-mac-x86_64NOTEAug 19 2024
R-4.4-mac-aarch64NOTEAug 19 2024
R-4.3-win-x86_64NOTEAug 19 2024
R-4.3-mac-x86_64NOTEAug 19 2024
R-4.3-mac-aarch64NOTEAug 19 2024

Exports:roll_shap

Dependencies:RcppRcppArmadilloRcppParallelroll

Readme and manuals

Help Manual

Help pageTopics
Rolling Shapley Valuesrollshap-package rollshap
Rolling Shapley Valuesroll_shap