Package: RI2by2 1.4

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 average treatment effect on a binary outcome. Methods outlined in further detail in Rigdon and Hudgens (2015) <doi:10.1002/sim.6384>.

Authors:Joseph Rigdon <[email protected]>

RI2by2_1.4.tar.gz
RI2by2_1.4.zip(r-4.7-x86_64)RI2by2_1.4.zip(r-4.7-arm64)RI2by2_1.4.zip(r-4.6-x86_64)RI2by2_1.4.zip(r-4.6-arm64)RI2by2_1.4.zip(r-4.5-x86_64)
RI2by2_1.4.tgz(r-4.6-x86_64)RI2by2_1.4.tgz(r-4.6-arm64)RI2by2_1.4.tgz(r-4.5-x86_64)RI2by2_1.4.tgz(r-4.5-arm64)
RI2by2_1.4.tar.gz(r-4.7-arm64)RI2by2_1.4.tar.gz(r-4.7-x86_64)RI2by2_1.4.tar.gz(r-4.6-arm64)RI2by2_1.4.tar.gz(r-4.6-x86_64)
RI2by2_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RI2by2/json (API)

# Install 'RI2by2' in R:
install.packages('RI2by2', repos = c('https://joerigdon.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 7 scripts 274 downloads 4 exports 2 dependencies

Last updated from:8dddd20ddb. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK109
linux-devel-x86_64OK120
source / vignettesOK210
linux-release-arm64OK106
linux-release-x86_64OK104
macos-release-arm64OK108
macos-release-x86_64OK329
macos-oldrel-arm64OK106
macos-oldrel-x86_64OK166
windows-devel-arm64OK476
windows-devel-x86_64OK241
windows-release-arm64OK345
windows-release-x86_64OK88
windows-oldrel-x86_64OK83
wasm-releaseOK107

Exports:AE.CIPerm.CIPerm.CI.RLHRobins.CI

Dependencies:gtoolsRcpp