Efficient Determination of Sample Size in Balanced Design of
Experiments
Provides the sample size in balanced design of experiments and three graphs ; detectable standardized effect size vs power, sample size vs detectable standardized effect size, and sample size vs power.
Sample size is computed in order to detect a certain standardized effect size with power at the significance level.
Three graphs show the mutual relationship between the sample size, power and the detectable standardized effect size.
By investigating those graphs, it can be checked that which effects are sensitive to the efficient sample size determination.
Lenth,R.V.(2006-9) <http://www.stat.uiowa.edu/~rlenth/Power>
Lim, Yong Bin (1998)
Marvin, A., Kastenbaum, A. and Hoel, D.G. (1970) <doi:10.2307/2334851>
Montgomery, Douglas C. (2013, ISBN: 0849323312).

c(person("Jong Hee", "Chung", role = c("aut", "cre"), email = "jochung947@gmail.com"),
person("Yong Bin", "Lim", role = "aut"),
person("Donghoh", "Kim", role = "ctb", email = "donghoh.kim@gmail.com"))
Jong Hee Chung [aut, cre],
Yong Bin Lim [aut],
Donghoh Kim [ctb]
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).

Bayesian Adaptive Designs for Phase II Trials with Binary
Endpoint
Annette Kopp-Schneider, Manuel Wiesenfarth, Ulrich Abel
Tools and workflow to choose design parameters in Bayesian adaptive single-arm phase II trial designs with binary endpoint (response, success) with possible stopping for efficacy and futility at interim analyses. Also contains routines to determine and visualize operating characteristics. See Kopp-Schneider et al. (2018) <doi:10.1002/bimj.201700209>.