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cff-version: 1.2.0
message: 'To cite package "noncompliance" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'noncompliance: Causal Inference in the Presence of Treatment Noncompliance
  Under the Binary Instrumental Variable Model'
version: 0.2.2
doi: 10.32614/CRAN.package.noncompliance
abstract: 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.
authors:
- family-names: Loh
  given-names: Wen Wei
  email: wloh@uw.edu
- family-names: Richardson
  given-names: Thomas S.
repository: https://CRAN.R-project.org/package=noncompliance
url: https://www.stat.washington.edu/~wloh/
date-released: '2016-02-11'
contact:
- family-names: Loh
  given-names: Wen Wei
  email: wloh@uw.edu