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

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Reference manual: noncompliance.pdf
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
OS X El Capitan binaries: r-release: noncompliance_0.2.2.tgz
OS X Mavericks binaries: r-oldrel: noncompliance_0.2.2.tgz
Old sources: noncompliance archive

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