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RI2by2 (version 1.4)

Randomization Inference for Treatment Effects on a Binary Outcome

Description

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) .

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Version

Install

install.packages('RI2by2')

Monthly Downloads

165

Version

1.4

License

GPL (>= 3)

Maintainer

Joseph Rigdon

Last Published

November 11th, 2023

Functions in RI2by2 (1.4)

Perm.CI.RLH

Permutation test confidence interval for a treatment effect on a binary outcome
Robins.CI

Asymptotic confidence interval for a treatment effect on a binary outcome
Perm.CI

Permutation test confidence interval for a treatment effect on a binary outcome
AE.CI

Attributable effects based confidence interval for a treatment effect on a binary outcome