Package: shapr
Version: 1.0.8.9001
Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to
        interpret. However, in many situations it is crucial to
        understand and explain why a model made a specific prediction.
        Shapley values is the only method for such prediction
        explanation framework with a solid theoretical foundation.
        Previously known methods for estimating the Shapley values do,
        however, assume feature independence. This package implements
        methods which accounts for any feature dependence, and thereby
        produces more accurate estimates of the true Shapley values. An
        accompanying 'Python' wrapper ('pyshapr') is available through
        PyPI.
Authors@R: c(
    person("Martin", "Jullum", email = "Martin.Jullum@nr.no", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-3908-5155")),
    person("Lars Henry Berge", "Olsen", email = "lhbolsen@nr.no", role = "aut", comment = c(ORCID = "0009-0006-9360-6993")),
    person("Annabelle", "Redelmeier", email = "ardelmeier@gmail.com", role = "aut"),
    person("Jon", "Lachmann", email = "Jon@lachmann.nu", role = "aut", comment = c(ORCID = "0000-0001-8396-5673")),
    person("Nikolai", "Sellereite", email = "nikolaisellereite@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4671-0337")),
    person("Anders", "Løland", email = "Anders.Loland@nr.no", role = "ctb"),
    person("Jens Christian", "Wahl", email = "jens.c.wahl@gmail.com", role = "ctb"),
    person("Camilla", "Lingjærde", role = "ctb"),
    person("Norsk Regnesentral", role =  c("cph", "fnd"))
    )
URL: https://norskregnesentral.github.io/shapr/,
        https://github.com/NorskRegnesentral/shapr/
BugReports: https://github.com/NorskRegnesentral/shapr/issues
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, data.table (>= 1.15.0), Rcpp (>= 0.12.15), Matrix,
        future.apply, methods, cli, rlang
Suggests: arf, ranger, xgboost, mgcv, testthat (>= 3.0.0), knitr,
        rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo,
        progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally,
        coro, parsnip, recipes, workflows, tune, dials, yardstick,
        hardhat, rsample
LinkingTo: RcppArmadillo, Rcpp
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.0.0
Repository: https://norskregnesentral.r-universe.dev
Date/Publication: 2026-06-24 10:40:26 UTC
RemoteUrl: https://github.com/norskregnesentral/shapr
RemoteRef: HEAD
RemoteSha: 2689d24d86ba176245635a3f25254212a7eb0b43
NeedsCompilation: yes
Packaged: 2026-06-24 13:23:55 UTC; root
Author: Martin Jullum [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-3908-5155>),
  Lars Henry Berge Olsen [aut] (ORCID:
    <https://orcid.org/0009-0006-9360-6993>),
  Annabelle Redelmeier [aut],
  Jon Lachmann [aut] (ORCID: <https://orcid.org/0000-0001-8396-5673>),
  Nikolai Sellereite [aut] (ORCID:
    <https://orcid.org/0000-0002-4671-0337>),
  Anders Løland [ctb],
  Jens Christian Wahl [ctb],
  Camilla Lingjærde [ctb],
  Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>