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BDEsize
View on CRAN: Click
here
Download and install BDEsize package within the R console
Install from CRAN:
install.packages("BDEsize")
Install from Github:
library("remotes")
install_github("cran/BDEsize") Install by package version:
library("remotes")
install_version("BDEsize", "1.6") Attach the package and use:
library("BDEsize")
Maintained by
Jong Hee Chung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-31
Latest Update: 2021-09-29
Description:
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) , Y. B. Lim (1998), M. A. Kastenbaum, D. G. Hoel and K. O. Bowman (1970) , and Douglas C. Montgomery (2013, ISBN: 0849323312).
How to cite:
Jong Hee Chung (2019). BDEsize: Efficient Determination of Sample Size in Balanced Design of Experiments. R package version 1.6, https://cran.r-project.org/web/packages/BDEsize. Accessed 25 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for BDEsize
Functions, R codes and Examples using
the BDEsize R package
Some associated functions: BDEsize-internal . Size.2levFr . Size.Block . Size.Full . Size.Split . plots.2levFr . plots.Block . plots.Full . plots.Split .
Some associated R codes: Size.2levFr.R . Size.Block.R . Size.Full.R . Size.Split.R . fsize.R . plots.2levFr.R . plots.Block.R . plots.Full.R . plots.Split.R . sizelist.R . sizelist.split.R . Full BDEsize package functions and examples
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