CoryMcCartan/adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

Functions to help assess the sensitivity of a Bayesian model (fitted using the rstan package) to the specification of its likelihood and priors. 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.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.2
URL https://corymccartan.github.io/adjustr/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("CoryMcCartan/adjustr")
CoryMcCartan/adjustr documentation built on June 25, 2022, 4:44 p.m.