RI2by2: Randomization Inference for Treatment Effects on a Binary Outcome
Version 1.3

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

Browse man pages Browse package API and functions Browse package files

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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RI2by2")

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...

Functions

AE.CI Man page Source code
CI_2by2_chiba_tau_v7_approx Source code
Perm.CI Man page
Perm.CI.RLH Man page Source code
Perm.CI2 Source code
Robins.CI Man page Source code
comb Source code
nchoosem Source code
pval2 Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/testCIs.R
src
src/RcppExports.cpp
src/Rcpp-RI2by2-chiba.cpp
NAMESPACE
R
R/RI2by2.R
R/RcppExports.R
MD5
DESCRIPTION
man
man/Robins.CI.Rd
man/Perm.CI.RLH.Rd
man/Perm.CI.Rd
man/AE.CI.Rd
RI2by2 documentation built on May 19, 2017, 8:41 p.m.