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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "adjustr" in publications use:'
type: software
license: MIT
title: 'adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance
  Sampling'
version: 0.2.0
abstract: Assess the sensitivity of a Bayesian model (fitted using 'Stan' via 'rstan',
  'brms', or 'cmdstanr') to the specification of its likelihood and priors. Users
  provide a series of alternate sampling specifications, and the package uses Pareto-smoothed
  importance sampling (PSIS) to estimate posterior quantities of interest under each
  specification, without needing to refit the model. Methods are based on Vehtari,
  Simpson, Gelman, Yao, and Gabry (2024) <https://doi.org/10.48550/arXiv.1507.02646>.
authors:
- family-names: McCartan
  given-names: Cory
  email: mccartan@psu.edu
repository: https://cran.r-universe.dev
repository-code: https://github.com/CoryMcCartan/adjustr
commit: e997ee577bc5aeeb2e615e6fb1d96d2c8ab7b52c
url: https://corymccartan.com/adjustr/
date-released: '2026-05-29'
contact:
- family-names: McCartan
  given-names: Cory
  email: mccartan@psu.edu