Reference

Model Adjustments Core functions for sensitivity anlysis workflow.
make_spec()	Set Up Model Adjustment Specifications
adjust_weights()	Compute Pareto-smoothed Importance Weights for Alternative Model Specifications
summarise(<adjustr_weighted>) summarize(<adjustr_weighted>)	Summarize Posterior Distributions Under Alternative Model Specifications
spec_plot()	Plot Posterior Quantities of Interest Under Alternative Model Specifications
Helper Functions Various helper functions for examining a model or building sampling specifications.
extract_samp_stmts()	Extract Model Sampling Statements From a Stan Model.
as.data.frame(<adjustr_spec>)	Convert an adjustr_spec Object Into a Data Frame
filter(<adjustr_spec>) arrange(<adjustr_spec>) rename(<adjustr_spec>) select(<adjustr_spec>) slice(<adjustr_spec>)	dplyr Methods for adjustr_spec Objects
get_resampling_idxs()	Get Importance Resampling Indices From Weights
pull(<adjustr_weighted>)	Extract Weights From an adjustr_weighted Object
adjustr-package	adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling