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r-seqalloc

Anaconda Verified

Potential randomization schemes are prospectively evaluated when units are assigned to treatment arms upon entry into the experiment. The schemes are evaluated for balance on covariates and on predictability (i.e., how well could a site worker guess the treatment of the next unit enrolled).

Installation

To install this package, run one of the following:

Conda
$conda install r::r-seqalloc

Usage Tracking

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About

Summary

Potential randomization schemes are prospectively evaluated when units are assigned to treatment arms upon entry into the experiment. The schemes are evaluated for balance on covariates and on predictability (i.e., how well could a site worker guess the treatment of the next unit enrolled).

Last Updated

Oct 15, 2019 at 15:45

License

GPL-2

Total Downloads

273

Supported Platforms

noarch