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The repository includes the development version of R package MKpower
Power analysis and sample size calculation for Welch and Hsu(Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests includingMonte-Carlo simulations of empirical power and type-I-error. Power and samplesize calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlosimulations. Power and sample size required for the evaluation of a diagnostictest(-system) (Flahault et al. (2005),https://doi.org/10.1016/j.jclinepi.2004.12.009;Dobbin and Simon (2007),https://doi.org/10.1093/biostatistics/kxj036) as well as for asingle proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004),https://doi.org/10.1016/j.csda.2003.10.002; Thulin (2014),https://doi.org/10.1214/14-ejs909),comparing two negative binomial rates (Zhu and Lakkis (2014),https://doi.org/10.1002/sim.5947),ANCOVA (Shieh (2020),https://doi.org/10.1007/s11336-019-09692-3), reference ranges(Jennen-Steinmetz and Wellek (2005),https://doi.org/10.1002/sim.2177), multipleprimary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5), andAUC (Hanley and McNeil (1982),https://doi.org/10.1148/radiology.143.1.7063747).
install.packages("MKpower")if(!require("remotes")) install.packages("remotes")remotes::install_github("stamats/MKpower")library(MKpower)vignette("MKpower")About
R package MKpower
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