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SeqExpMatch
View on CRAN: Click
here
Download and install SeqExpMatch package within the R console
Install from CRAN:
install.packages("SeqExpMatch")
Install from Github:
library("remotes")
install_github("cran/SeqExpMatch")
Install by package version:
library("remotes")
install_version("SeqExpMatch", "0.1.0")
Attach the package and use:
library("SeqExpMatch")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-01
Latest Update: 2021-06-01
Description:
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) .
How to cite:
Adam Kapelner (2021). SeqExpMatch: Sequential Experimental Design via Matching on-the-Fly. R package version 0.1.0, https://cran.r-project.org/web/packages/SeqExpMatch. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for SeqExpMatch
Functions, R codes and Examples using
the SeqExpMatch R package
Some associated functions: SeqDesign . SeqDesignInference . SeqExpMatch .
Some associated R codes: SeqExpMatch.R . design.R . inference.R . zzz.R . Full SeqExpMatch package functions and examples
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