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.
- Version0.2.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release02/15/2016
Team
Wen Wei Loh
Thomas S. Richardson
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Last 30 days
This package has been downloaded 176 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,363 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 25 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package
- Linking To1 package