odr: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects

Calculate the optimal sample size allocation that produces the highest statistical power for experimental studies under a budget constraint, and perform power analyses with and without accommodating cost structures of sampling. The designs cover single-level and multilevel experiments detecting main, mediation, and moderation effects (and some combinations). The references for the proposed methods include: (1) Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics, 45(4): 446-474. <doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for three-level multisite cluster-randomized trials. Journal of Research on Educational Effectiveness, 15 (1), 130-150. <doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in multisite randomized trials. The Journal of Experimental Education. <doi:10.1080/00220973.2020.1830361>. (4) Champely, S. (2020). pwr: Basic functions for power analysis (Version 1.3-0) [Software]. Available from <https://CRAN.R-project.org/package=pwr>.

Version: 1.4.4
Depends: R (≥ 3.3.0), stats (≥ 3.0.0), graphics (≥ 3.0.0), base (≥ 3.0.0)
Suggests: rmarkdown, knitr, markdown
Published: 2023-08-08
DOI: 10.32614/CRAN.package.odr
Author: Zuchao Shen ORCID iD [aut, cre], Benjamin Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen at gmail.com>
License: GPL-3
NeedsCompilation: no
Language: en-US
In views: ExperimentalDesign
CRAN checks: odr results


Reference manual: odr.pdf
Vignettes: Package 'odr'


Package source: odr_1.4.4.tar.gz
Windows binaries: r-devel: odr_1.4.4.zip, r-release: odr_1.4.4.zip, r-oldrel: odr_1.4.4.zip
macOS binaries: r-release (arm64): odr_1.4.4.tgz, r-oldrel (arm64): odr_1.4.4.tgz, r-release (x86_64): odr_1.4.4.tgz, r-oldrel (x86_64): odr_1.4.4.tgz
Old sources: odr archive


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