odr: Optimal Design and Statistical Power of Multilevel Randomized Trials

Calculate the optimal sample allocation that minimizes the variance of treatment effect in multilevel randomized trials under fixed budget and cost structure, perform power analyses with and without accommodating costs and budget. The references for proposed methods are: (1) Shen, Z., & Kelcey, B. (2018, April). Optimal design of cluster randomized trials under condition- and unit-specific cost structures. Roundtable discussion to be presented at American Educational Research Association (AERA) annual conference; (2) Shen, Z., & Kelcey, B. (under review). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics; (3) Shen, Z.(in progress). Using optimal sample allocation to improve design efficiency for multilevel randomized trials. (Unpublished doctoral dissertation). University of Cincinnati, Cincinnati, OH.

Version: 0.7.3
Depends: R (≥ 3.3.0), stats (≥ 3.0.0), graphics (≥ 3.0.0), base (≥ 3.0.0)
Suggests: knitr, rmarkdown, roxygen2, testthat
Published: 2018-01-03
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <shenzo at mail.uc.edu>
License: GPL-3
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: odr results


Reference manual: odr.pdf
Vignettes: Package 'odr'
Package source: odr_0.7.3.tar.gz
Windows binaries: r-devel: odr_0.7.3.zip, r-release: odr_0.7.3.zip, r-oldrel: odr_0.7.3.zip
OS X El Capitan binaries: r-release: odr_0.7.3.tgz
OS X Mavericks binaries: r-oldrel: odr_0.7.3.tgz
Old sources: odr archive


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