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
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.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

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