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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