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noncompliance: Causal Inference in the Presence of Treatment NoncomplianceUnder 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 uw.edu>
License:GPL (≥ 3)
URL:https://www.stat.washington.edu/~wloh/
NeedsCompilation:yes
CRAN checks:noncompliance results

Documentation:

Reference manual:noncompliance.html ,noncompliance.pdf

Downloads:

Package source: noncompliance_0.2.2.tar.gz
Windows binaries: r-devel:noncompliance_0.2.2.zip, r-release:noncompliance_0.2.2.zip, r-oldrel:noncompliance_0.2.2.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=noncomplianceto link to this page.


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