Power Analysis and Sample Size Calculation R package MKpower version 1.1 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) Power analysis and sample size calculation for Welch and Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo simulations of empirical power and type-I-error. Power and sample size calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo simulations. Power and sample size required for the evaluation of a diagnostic test(-system) (Flahault et al. (2005), <doi:10.1016/j.jclinepi.2004.12.009>; Dobbin and Simon (2007), <doi:10.1093/biostatistics/kxj036>) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), <doi:10.1016/j.csda.2003.10.002>; Thulin (2014), <doi:10.1214/14-ejs909>), comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>), ANCOVA (Shieh (2020), <doi:10.1007/s11336-019-09692-3>), reference ranges (Jennen-Steinmetz and Wellek (2005), <doi:10.1002/sim.2177>), multiple primary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5), and AUC (Hanley and McNeil (1982), <doi:10.1148/radiology.143.1.7063747>). Software Depends: R(>= 3.5.0) Imports: stats, matrixTests(>= 0.2), ggplot2, MKdescr, MKinfer(>= 0.4), qqplotr, coin, mvtnorm, rlang Suggests: knitr, rmarkdown, hexbin Matthias Kohl <Matthias.Kohl@stamats.de> Comprehensive R Archive Network (CRAN) Matthias Kohl [aut, cre] (ORCID: <https://orcid.org/0000-0001-9514-8910>) LGPL-3 2025-09-05 application/tgz https://CRAN.R-project.org/package=MKpower doi:10.32614/CRAN.package.MKpower