blkvar: 'blkvar' package
In lmiratrix/blkvar: ATE and Treatment Variation Estimation for Blocked and Multisite RCTs
blkvar R Documentation
blkvar package
Description
Estimating ATE and Cross-Site Variation for Multisite (block) RCTs
Details
This code bundle is a package for estimating impacts and cross-site variation
in multi-site or blocked RCTs.
It is the companion package for three papers on blocking and multisite experiments (see references below).
It also has a bunch of routines for running multisite simulation scenarios.
It is used in a variety of research projects connected with the Miratrix
CARES Lab (https://cares.gse.harvard.edu/) and other research that
Miratrix is part of.
While planned for posting on CRAN, the current version is currently hosted on GitHub. See
GitHub for current
development version.
Author(s)
Maintainer: Luke Miratrix lmiratrix@stat.harvard.edu
Authors:
Nicole Pashley npashley@g.harvard.edu
References
Miratrix, L. W., Weiss, M. J., & Henderson, B. (2021). An applied researcher’s guide to estimating effects from multisite individually randomized trials: Estimands, estimators, and estimates. Journal of Research on Educational Effectiveness, 14(1), 270-308.
Pashley, N. E., & Miratrix, L. W. (2021). Insights on variance estimation for blocked and matched pairs designs. Journal of Educational and Behavioral Statistics, 46(3), 271-296.
Pashley, N. E., & Miratrix, L. W. (In press). Block what you can, except when you shouldn't. Journal of Educational and Behavioral Statistics
lmiratrix/blkvar documentation built on Nov. 18, 2024, 1:27 p.m.
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| blkvar | R Documentation |
blkvar package
Description
Estimating ATE and Cross-Site Variation for Multisite (block) RCTs
Details
This code bundle is a package for estimating impacts and cross-site variation in multi-site or blocked RCTs.
It is the companion package for three papers on blocking and multisite experiments (see references below).
It also has a bunch of routines for running multisite simulation scenarios. It is used in a variety of research projects connected with the Miratrix CARES Lab (https://cares.gse.harvard.edu/) and other research that Miratrix is part of.
While planned for posting on CRAN, the current version is currently hosted on GitHub. See GitHub for current development version.
Author(s)
Maintainer: Luke Miratrix lmiratrix@stat.harvard.edu
Authors:
Nicole Pashley npashley@g.harvard.edu
References
Miratrix, L. W., Weiss, M. J., & Henderson, B. (2021). An applied researcher’s guide to estimating effects from multisite individually randomized trials: Estimands, estimators, and estimates. Journal of Research on Educational Effectiveness, 14(1), 270-308.
Pashley, N. E., & Miratrix, L. W. (2021). Insights on variance estimation for blocked and matched pairs designs. Journal of Educational and Behavioral Statistics, 46(3), 271-296.
Pashley, N. E., & Miratrix, L. W. (In press). Block what you can, except when you shouldn't. Journal of Educational and Behavioral Statistics
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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