BDEsize: Efficient Determination of Sample Size in Balanced Design of Experiments

For a balanced design of experiments, this package calculates the sample size required to detect a certain standardized effect size, under a significance level. This package also provides three graphs; detectable standardized effect size vs power, sample size vs detectable standardized effect size, and sample size vs power, which show the mutual relationship between the sample size, power and the detectable standardized effect size. The detailed procedure is described in R. V. Lenth (2006-9) <https://homepage.divms.uiowa.edu/~rlenth/Power/>, Y. B. Lim (1998), M. A. Kastenbaum, D. G. Hoel and K. O. Bowman (1970) <doi:10.2307/2334851>, and Douglas C. Montgomery (2013, ISBN: 0849323312).

Version: 1.6
Imports: fpow, ggplot2
Published: 2021-09-29
Author: Jong Hee Chung [aut, cre], Yong Bin Lim [aut], Donghoh Kim [ctb]
Maintainer: Jong Hee Chung <jochung947 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BDEsize results

Documentation:

Reference manual: BDEsize.pdf

Downloads:

Package source: BDEsize_1.6.tar.gz
Windows binaries: r-devel: BDEsize_1.6.zip, r-release: BDEsize_1.6.zip, r-oldrel: BDEsize_1.6.zip
macOS binaries: r-release (arm64): BDEsize_1.6.tgz, r-oldrel (arm64): BDEsize_1.6.tgz, r-release (x86_64): BDEsize_1.6.tgz
Old sources: BDEsize archive

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