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 |
| 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 |
| Reference manual: | adjustr.html , adjustr.pdf |
| Vignettes: |
Sensitivity Analysis of a Simple Hierarchical Model (source, R code) |
| Package source: | adjustr_0.2.0.tar.gz |
| Windows binaries: | r-devel: adjustr_0.2.0.zip, r-release: adjustr_0.2.0.zip, r-oldrel: adjustr_0.2.0.zip |
| macOS binaries: | r-release (arm64): adjustr_0.2.0.tgz, r-oldrel (arm64): adjustr_0.2.0.tgz, r-release (x86_64): adjustr_0.2.0.tgz, r-oldrel (x86_64): adjustr_0.2.0.tgz |
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