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cff-version: 1.2.0
message: 'To cite package "shapleydecomp" in publications use:'
type: software
license: MIT
title: 'shapleydecomp: Shapley Value Decomposition for Discrete-Time Simulation Models'
version: 1.0.0
abstract: Attributes changes in the outcomes of a discrete-time simulation model to
  its input factors using Shapley values (Shapley 1953) <https://doi.org/10.1515/9781400881970-018>,
  which for binary factors coincide with the symmetric standardization of Das Gupta
  (1993) <https://www2.census.gov/library/publications/1993/demographics/p23-186.pdf>.
  Any calibrated model can be decomposed by implementing four S3 methods that run
  the model, summarize its output, and construct counterfactual inputs. Counterfactuals
  either remove a factor entirely or hold it at its value in a baseline year, and
  a sequential decomposition attributes each year's policy conditional on the past.
authors:
- family-names: Carter
  given-names: Austin
  email: aucarter@uw.edu
repository: https://cran.r-universe.dev
repository-code: https://github.com/aucarter/shapleydecomp
commit: 62c08cfdd3ea361f03e2bfbb4c0e2a2f3a7f88ad
url: https://aucarter.github.io/shapleydecomp/
date-released: '2026-11-03'
contact:
- family-names: Carter
  given-names: Austin
  email: aucarter@uw.edu