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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>.
Getting started
Browse package contents
Package details |
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| Author | Joseph Rigdon <jrigdon@wakehealth.edu> |
| Maintainer | Joseph Rigdon <jrigdon@wakehealth.edu> |
| License | GPL (>= 3) |
| Version | 1.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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