Package: MKpower
Version: 0.5
Date: 2020-11-27
Title: Power Analysis and Sample Size Calculation
Authors@R: person("Matthias", "Kohl", role = c("aut", "cre"),
                  email = "Matthias.Kohl@stamats.de", 
                  comment = c(ORCID = "0000-0001-9514-8910"))
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Depends: R(>= 3.5.0)
Imports: stats, matrixTests, ggplot2, MKdescr, MKinfer(>= 0.4),
        qqplotr, coin
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: 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>) and comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>).
License: LGPL-3
URL: http://www.stamats.de/
NeedsCompilation: no
Packaged: 2020-11-27 21:17:03 UTC; kohlm
Repository: CRAN
Date/Publication: 2020-11-28 14:50:10 UTC
