PUMP: Power Under Multiplicity Project

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <arXiv:2112.15273>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, ggpubr, here, future, magrittr, mvtnorm, parallel, purrr, randomizr, readr, rlang, stats, stringr, tibble, tidyr, tidyselect
Suggests: testthat, kableExtra, knitr, furrr, PowerUpR (≥ 1.1.0)
Published: 2022-02-09
Author: Kristin Porter [aut], Luke Miratrix [aut, cre], Kristen Hunter ORCID iD [aut], Zarni Htet [aut], MDRC [cph], Institute of Education Sciences [fnd]
Maintainer: Luke Miratrix <luke_miratrix at gse.harvard.edu>
BugReports: https://github.com/MDRCNY/PUMP/issues
License: MIT + file LICENSE
URL: https://github.com/MDRCNY/PUMP
NeedsCompilation: no
Materials: README
CRAN checks: PUMP results


Reference manual: PUMP.pdf
Vignettes: Demonstration of the PUMP package
Demo and discussion of the pump_sample method
Demo of simulating multi-level data


Package source: PUMP_1.0.0.tar.gz
Windows binaries: r-devel: PUMP_1.0.0.zip, r-release: PUMP_1.0.0.zip, r-oldrel: PUMP_1.0.0.zip
macOS binaries: r-release (arm64): PUMP_1.0.0.tgz, r-oldrel (arm64): PUMP_1.0.0.tgz, r-release (x86_64): PUMP_1.0.0.tgz, r-oldrel (x86_64): PUMP_1.0.0.tgz


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