Computes experimental designs for a two-arm experiment with covariates by greedily optimizing a balance objective function. This optimization provides lower variance for the treatment effect estimator (and higher power) while preserving a design that is close to complete randomization. We return all iterations of the designs for use in a permutation test.
Version: | 1.1 |
Depends: | R (≥ 3.2.0), rJava (≥ 0.9-6) |
Imports: | graphics, grDevices, stats |
Published: | 2018-03-02 |
Author: | Adam Kapelner, David Azriel and Abba M. Krieger |
Maintainer: | Adam Kapelner <kapelner at qc.cuny.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
SystemRequirements: | Java (>= 7.0) |
Citation: | GreedyExperimentalDesign citation info |
Materials: | ChangeLog |
CRAN checks: | GreedyExperimentalDesign results |
Reference manual: | GreedyExperimentalDesign.pdf |
Vignettes: |
GreedyExperimentalDesign |
Package source: | GreedyExperimentalDesign_1.1.tar.gz |
Windows binaries: | r-devel: GreedyExperimentalDesign_1.1.zip, r-release: GreedyExperimentalDesign_1.1.zip, r-oldrel: GreedyExperimentalDesign_1.1.zip |
OS X binaries: | r-release: GreedyExperimentalDesign_1.1.tgz, r-oldrel: GreedyExperimentalDesign_1.1.tgz |
Old sources: | GreedyExperimentalDesign archive |
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