R: Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model

# Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model

## Documentation for package ‘noncompliance’ version 0.2.2

- DESCRIPTION file

## Help Pages

ACE_bounds | Bounds for the Average Causal Effect (ACE).
ACE_bounds_posterior | Posterior bounds for the Average Causal Effect (ACE).
ACE_bounds_triangle.plot | "Triangle" plot of the posterior bounds for the Average Causal Effect (ACE).
AllColTotalsH0_CONT | Finds all column totals for Compliers and Never Takers under the sharp null for Compliers.
AllPossiblyObsH0_CONT | Finite population sample space given an observed dataset.
Check_ACDE_bounds | Bounds for the Average Controlled Direct Effect (ACDE).
Check_IV_ineqs | Check of the Instrumental Variable (IV) inequalities.
expand.grid.DT | Expand.grid using the data.table package.
FindMLE_CONT_H0_hypergeoR | Maximum Likelihood Estimate under the sharp null for Compliers.
FindMLE_CONT_H1_hypergeoR | Maximum Likelihood Estimate without assuming the sharp null for Compliers.
Get_pvalues_CONT | Exact finite population p-values under the sharp null for Compliers.