Sequential Experimental Design via Matching on-the-Fly

Generates the following sequential two-arm experimental designs: (1) completely randomized (Bernoulli) (2) balanced completely randomized (3) Efron's (1971) Biased Coin (4) Atkinson's (1982) Covariate-Adjusted Biased Coin (5) Kapelner and Krieger's (2014) Covariate-Adjusted Matching on the Fly (6) Kapelner and Krieger's (2021) CARA Matching on the Fly with Differential Covariate Weights (Naive) (7) Kapelner and Krieger's (2021) CARA Matching on the Fly with Differential Covariate Weights (Stepwise) and also provides the following types of inference: (1) estimation (with both Z-style estimators and OLS estimators), (2) frequentist testing (via asymptotic distribution results and via employing the nonparametric randomization test) and (3) frequentist confidence intervals (only under the superpopulation sampling assumption currently). Details can be found in our publication: Kapelner and Krieger "A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power" (2020) .


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install.packages("SeqExpMatch")

0.1.0 by Adam Kapelner, 20 days ago


https://github.com/kapelner/matching_on_the_fly_designs_R_package_and_paper_repr


Browse source code at https://github.com/cran/SeqExpMatch


Authors: Adam Kapelner [aut, cre] , Abba Krieger [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports stats

Depends on R6, checkmate, doParallel


See at CRAN