odr: Optimal Design and Statistical Power of Multilevel Randomized Trials

Calculate the optimal sample allocation that produces smallest variance of a treatment effect or the highest statistical power for experimental studies under a budget constraint, perform power analyses with and without accommodating cost structures of sampling, and calculate the relative efficiency between two sample allocations. The references for the proposed methods are: (1) Shen, Z. (2019). Optimal sample allocation in multilevel Experiments. (Doctoral dissertation). University of Cincinnati, Cincinnati, OH. (2) Shen, Z., & Kelcey, B. (in press). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics. (3) Champely., S. (2018). pwr: Basic functions for power analysis (Version 1.2-2) [Software]. Available from <https://CRAN.R-project.org/package=pwr>.

Version: 1.0.2
Depends: R (≥ 3.3.0), stats (≥ 3.0.0), graphics (≥ 3.0.0), base (≥ 3.0.0)
Suggests: knitr, rmarkdown
Published: 2020-03-13
Author: Zuchao Shen [aut, cre], Ben Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen at gmail.com>
License: GPL-3
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: odr results


Reference manual: odr.pdf
Vignettes: Package 'odr'
Package source: odr_1.0.2.tar.gz
Windows binaries: r-devel: odr_1.0.2.zip, r-release: odr_1.0.2.zip, r-oldrel: odr_1.0.2.zip
macOS binaries: r-release: odr_1.0.2.tgz, r-oldrel: odr_1.0.2.tgz
Old sources: odr archive


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