Description Details References
Provides wrappers for the Julia package 'GSWDesign', which is a fast implementation of the Gram-Schmidt Walk for balancing covariates in randomized experiments. The Gram-Schmidt Walk design allows experimenters to control the trade-off between the amount of covariate balance and robustness provided by treatment assignment.
See sample_gs_walk
for the main function.
See the packages' websites for more information: https://github.com/crharshaw/GSWDesign.jl, https://github.com/fsavje/gswdesign-R.
Bug reports and suggestions are greatly appreciated. They are best reported here: https://github.com/fsavje/gswdesign-R/issues.
Harshaw, Christopher and Fredrik Sävje and Daniel Spielman and Peng Zhang (2020), ‘Balancing covariates in randomized experiments using the Gram-Schmidt walk’, arXiv 1911.03071. https://arxiv.org/abs/1911.03071
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