adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

Functions to help assess the sensitivity of a Bayesian model to the specification of its likelihood and priors, estimated using the rstan package. Users provide a series of alternate sampling specifications, and the package uses Pareto-smoothed importance sampling to estimate posterior quantities of interest under each specification.

Details

See the list of key functions and the example below. Full package documentation available at https://corymccartan.github.io/adjustr/.

Key Functions

• make_spec

• adjust_weights

• summarize

• plot