Package: adjustr
Encoding: UTF-8
Type: Package
Title: Stan Model Adjustments and Sensitivity Analyses using Importance
        Sampling
Version: 0.2.0
Authors@R: person("Cory", "McCartan", email = "mccartan@psu.edu",
  role = c("aut", "cre", "cph"))
Description: 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)
        <doi:10.48550/arXiv.1507.02646>.
License: MIT + file LICENSE
Depends: R (>= 3.6.0), dplyr (>= 1.0.0)
Imports: rlang, tidyselect, rstan, loo
Suggests: ggplot2, extraDistr, tidyr, testthat, covr, knitr, rmarkdown
URL: https://corymccartan.com/adjustr/
BugReports: https://github.com/CoryMcCartan/adjustr/issues
LazyData: true
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: make
Repository: https://corymccartan.r-universe.dev
Date/Publication: 2026-05-22 22:05:33 UTC
RemoteUrl: https://github.com/CoryMcCartan/adjustr
RemoteRef: v0.2.0
RemoteSha: e6d9ed7f84f322303345d91a45a432b42cd01b8b
NeedsCompilation: no
Packaged: 2026-07-03 23:16:49 UTC; root
Author: Cory McCartan [aut, cre, cph]
Maintainer: Cory McCartan <mccartan@psu.edu>