Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

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Documentation for package ‘adjustr’ version 0.2.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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