Computes the required sample size using the optimal designs with multiple constraints proposed in Mayo et al.(2010). This optimal method is designed for two-arm, randomized phase II clinical trials, and the required sample size can be optimized either using fixed or flexible randomization allocation ratios.
https://anaconda.org/r_test/r-sample.size/badges/version.svg
https://anaconda.org/r_test/r-sample.size/badges/latest_release_date.svg
https://anaconda.org/r_test/r-sample.size/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-sample.size/badges/platforms.svg
https://anaconda.org/r_test/r-sample.size/badges/license.svg
https://anaconda.org/r_test/r-sample.size/badges/downloads.svg