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.

AuthorWen Wei Loh [aut, cre], Thomas S. Richardson [aut]
Date of publication2016-02-15 13:47:11
MaintainerWen Wei Loh <wloh@uw.edu>
LicenseGPL (>= 3)
Version0.2.2
https://www.stat.washington.edu/~wloh/

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Files

noncompliance
noncompliance/tests
noncompliance/tests/testthat.R
noncompliance/tests/testthat
noncompliance/tests/testthat/test_mle.R
noncompliance/tests/testthat/test_bounds.R
noncompliance/tests/testthat/test_pvalues.R
noncompliance/src
noncompliance/src/RcppExports.cpp
noncompliance/src/finitepop-CONT.cpp
noncompliance/NAMESPACE
noncompliance/R
noncompliance/R/finitepop.R noncompliance/R/transparent.R noncompliance/R/RcppExports.R
noncompliance/MD5
noncompliance/DESCRIPTION
noncompliance/man
noncompliance/man/ACE_bounds.Rd noncompliance/man/Check_IV_ineqs.Rd noncompliance/man/Check_ACDE_bounds.Rd noncompliance/man/FindMLE_CONT_H0_hypergeoR.Rd noncompliance/man/AllPossiblyObsH0_CONT.Rd noncompliance/man/ACE_bounds_posterior.Rd noncompliance/man/expand.grid.DT.Rd noncompliance/man/Get_pvalues_CONT.Rd noncompliance/man/ACE_bounds_triangle.plot.Rd noncompliance/man/AllColTotalsH0_CONT.Rd noncompliance/man/FindMLE_CONT_H1_hypergeoR.Rd

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