R: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

# Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

## Documentation for package ‘adjustr’ version 0.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

adjust_weights | Compute Pareto-smoothed Importance Weights for Alternative Model Specifications
arrange.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
as.data.frame.adjustr_spec | Convert an 'adjustr_spec' Object Into a Data Frame
dplyr.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
extract_samp_stmts | Extract Model Sampling Statements From a Stan Model.
filter.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
get_resampling_idxs | Get Importance Resampling Indices From Weights
length.adjustr_spec | Set Up Model Adjustment Specifications
make_spec | Set Up Model Adjustment Specifications
print.adjustr_spec | Set Up Model Adjustment Specifications
pull.adjustr_weighted | Extract Weights From an 'adjustr_weighted' Object
rename.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
select.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
slice.adjustr_spec | 'dplyr' Methods for 'adjustr_spec' Objects
spec_plot | Plot Posterior Quantities of Interest Under Alternative Model Specifications
summarise.adjustr_weighted | Summarize Posterior Distributions Under Alternative Model Specifications
summarize.adjustr_weighted | Summarize Posterior Distributions Under Alternative Model Specifications