RI2by2: Randomization Inference for Treatment Effects on a Binary Outcome

Computes attributable effects based confidence interval, permutation test confidence interval, or asymptotic confidence interval for the the average treatment effect on a binary outcome.

AuthorJoseph Rigdon, Wen Wei Loh, Michael G. Hudgens
Date of publication2016-10-21 10:42:34
MaintainerWen Wei Loh <wwloh@email.unc.edu>
LicenseGPL (>= 3)
Version1.3

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Files

RI2by2
RI2by2/tests
RI2by2/tests/testthat.R
RI2by2/tests/testthat
RI2by2/tests/testthat/testCIs.R
RI2by2/src
RI2by2/src/RcppExports.cpp
RI2by2/src/Rcpp-RI2by2-chiba.cpp
RI2by2/NAMESPACE
RI2by2/R
RI2by2/R/RI2by2.R RI2by2/R/RcppExports.R
RI2by2/MD5
RI2by2/DESCRIPTION
RI2by2/man
RI2by2/man/Robins.CI.Rd RI2by2/man/Perm.CI.RLH.Rd RI2by2/man/Perm.CI.Rd RI2by2/man/AE.CI.Rd

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