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.

Author
Joseph Rigdon, Wen Wei Loh, Michael G. Hudgens
Date of publication
2016-10-21 10:42:34
Maintainer
Wen Wei Loh <wwloh@email.unc.edu>
License
GPL (>= 3)
Version
1.3

View on CRAN

Man pages

AE.CI
Attributable effects based confidence interval for a...
Perm.CI
Permutation test confidence interval for a treatment effect...
Perm.CI.RLH
Permutation test confidence interval for a treatment effect...
Robins.CI
Asymptotic confidence interval for a treatment effect on a...

Files in this package

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