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.

Version: 0.2.2
Imports: data.table (≥ 1.9.4), Rcpp (≥ 0.12.1)
LinkingTo: Rcpp
Suggests: testthat
Published: 2016-02-15
DOI: 10.32614/CRAN.package.noncompliance
Author: Wen Wei Loh [aut, cre], Thomas S. Richardson [aut]
Maintainer: Wen Wei Loh <wloh at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: noncompliance results


Reference manual: noncompliance.pdf


Package source: noncompliance_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): noncompliance_0.2.2.tgz, r-oldrel (arm64): noncompliance_0.2.2.tgz, r-release (x86_64): noncompliance_0.2.2.tgz, r-oldrel (x86_64): noncompliance_0.2.2.tgz
Old sources: noncompliance archive


Please use the canonical form to link to this page.