adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance
Sampling
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>.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.6.0), dplyr (≥ 1.0.0) |
| Imports: |
rlang, tidyselect, rstan, loo |
| Suggests: |
ggplot2, extraDistr, tidyr, testthat, covr, knitr, rmarkdown |
| Published: |
2026-05-29 |
| DOI: |
10.32614/CRAN.package.adjustr (may not be active yet) |
| Author: |
Cory McCartan [aut, cre, cph] |
| Maintainer: |
Cory McCartan <mccartan at psu.edu> |
| BugReports: |
https://github.com/CoryMcCartan/adjustr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://corymccartan.com/adjustr/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
adjustr results |
Documentation:
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