Package: noncompliance 0.2.2
Wen Wei Loh
noncompliance: Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model
A finite-population significance test of the 'sharp' causal null hypothesis that treatment exposure X has no effect on final outcome Y, within the principal stratum of Compliers. A generalized likelihood ratio test statistic is used, and the resulting p-value is exact. Currently, it is assumed that there are only Compliers and Never Takers in the population.
Authors:
noncompliance_0.2.2.tar.gz
noncompliance_0.2.2.tar.gz(r-4.5-noble)noncompliance_0.2.2.tar.gz(r-4.4-noble)
noncompliance_0.2.2.tgz(r-4.4-emscripten)noncompliance_0.2.2.tgz(r-4.3-emscripten)
noncompliance.pdf |noncompliance.html✨
noncompliance/json (API)
| # Install 'noncompliance' in R: |
| install.packages('noncompliance', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:d1074212b1. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-linux-x86_64 | OK | Jan 29 2025 |
Exports:ACE_boundsACE_bounds_posteriorACE_bounds_triangle.plotAllColTotalsH0_CONTAllPossiblyObsH0_CONTCheck_ACDE_boundsCheck_IV_ineqsexpand.grid.DTFindMLE_CONT_H0_hypergeoRFindMLE_CONT_H1_hypergeoRGet_pvalues_CONT
Dependencies:data.tableRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bounds for the Average Causal Effect (ACE). | ACE_bounds |
| Posterior bounds for the Average Causal Effect (ACE). | ACE_bounds_posterior |
| "Triangle" plot of the posterior bounds for the Average Causal Effect (ACE). | ACE_bounds_triangle.plot |
| Finds all column totals for Compliers and Never Takers under the sharp null for Compliers. | AllColTotalsH0_CONT |
| Finite population sample space given an observed dataset. | AllPossiblyObsH0_CONT |
| Bounds for the Average Controlled Direct Effect (ACDE). | Check_ACDE_bounds |
| Check of the Instrumental Variable (IV) inequalities. | Check_IV_ineqs |
| Expand.grid using the data.table package. | expand.grid.DT |
| Maximum Likelihood Estimate under the sharp null for Compliers. | FindMLE_CONT_H0_hypergeoR |
| Maximum Likelihood Estimate without assuming the sharp null for Compliers. | FindMLE_CONT_H1_hypergeoR |
| Exact finite population p-values under the sharp null for Compliers. | Get_pvalues_CONT |