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.


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install.packages("noncompliance")

0.2.2 by Wen Wei Loh, 2 years ago


https://www.stat.washington.edu/~wloh/


Browse source code at https://github.com/cran/noncompliance


Authors: Wen Wei Loh [aut, cre], Thomas S. Richardson [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports data.table, Rcpp

Suggests testthat

Linking to Rcpp


See at CRAN