Package: rollshap
Type: Package
Title: Rolling Shapley Values
Version: 1.0.1
Authors@R: person("Jason", "Foster", , "jason.j.foster@gmail.com", c("aut", "cre"))
Description: Analytical computation of rolling and expanding Shapley values for time-series data. The 'rollshap' package decomposes the coefficient of determination (R-squared) of a linear regression into nonnegative contributions from each explanatory variable using the Shapley value from cooperative game theory (Shapley, 1953, <doi:10.1515/9781400881970-018>). For each window, the exact Shapley value is computed by fitting all subsets of the explanatory variables and averaging the marginal contribution to R-squared across all orderings, which returns an order-invariant attribution that sums to the full-model R-squared. Use cases include variable importance, factor attribution, and feature selection in time-series regression. The package supports rolling and expanding windows, weights, and handling of missing values via 'min_obs', 'complete_obs', and 'na_restore' arguments. The implementation uses the online and offline algorithms from the 'roll' package to compute rolling and expanding cross-products efficiently with parallelism across columns and windows provided by 'RcppParallel'.
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/rollshap
BugReports: https://github.com/jasonjfoster/rollshap/issues
Depends: R (>= 3.0.2)
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, roll (>= 1.1.7)
SystemRequirements: GNU make
Encoding: UTF-8
Suggests: covr, testthat, zoo, relaimpo, roll
Config/roxygen2/old_usage: TRUE
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-05-17 12:13:20 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-21 09:10:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-05-22 00:15:30 UTC; unix
Archs: rollshap.so.dSYM
