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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | adjustr_0.2.0.tar.gz |
408.7 KiB |
0.2.0 |
rolling linux/noble R-4.5 | adjustr_0.2.0.tar.gz |
408.0 KiB |
0.2.0 |
rolling source/ R- | adjustr_0.2.0.tar.gz |
367.9 KiB |
0.2.0 |
latest linux/jammy R-4.5 | adjustr_0.2.0.tar.gz |
408.7 KiB |
0.2.0 |
latest linux/noble R-4.5 | adjustr_0.2.0.tar.gz |
408.0 KiB |
0.2.0 |
latest source/ R- | adjustr_0.2.0.tar.gz |
367.9 KiB |
0.2.0 |
2026-04-23 source/ R- | adjustr_0.2.0.tar.gz |
0 B |