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
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RI2by2.pdf |RI2by2.html✨
RI2by2/json (API)

# Install 'RI2by2' in R:
install.packages('RI2by2', repos = c('https://joerigdon.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.00 score 5 scripts 160 downloads 4 exports 2 dependencies

Last updated 1 years agofrom:8dddd20ddb. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

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

Dependencies:gtoolsRcpp