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noncompliance  

Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model
View on CRAN: Click here


Download and install noncompliance package within the R console
Install from CRAN:
install.packages("noncompliance")

Install from Github:
library("remotes")
install_github("cran/noncompliance")

Install by package version:
library("remotes")
install_version("noncompliance", "0.2.2")



Attach the package and use:
library("noncompliance")
Maintained by
Wen Wei Loh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-12
Latest Update: 2016-02-15
Description:
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.
How to cite:
Wen Wei Loh (2016). noncompliance: Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model. R package version 0.2.2, https://cran.r-project.org/web/packages/noncompliance. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.1 (2016-02-12 07:41)
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