The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=noncompliance to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.