MKpower: Power Analysis and Sample Size Calculation

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) and comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>).

Version: 0.4
Depends: R (≥ 3.5.0)
Imports: stats, matrixTests, ggplot2, MKdescr, MKinfer (≥ 0.4), qqplotr, coin
Suggests: knitr, rmarkdown
Published: 2020-02-02
Author: Matthias Kohl ORCID iD [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl at stamats.de>
License: LGPL-3
URL: http://www.stamats.de/
NeedsCompilation: no
Citation: MKpower citation info
Materials: NEWS
CRAN checks: MKpower results

Downloads:

Reference manual: MKpower.pdf
Vignettes: MKpower
Package source: MKpower_0.4.tar.gz
Windows binaries: r-devel: MKpower_0.4.zip, r-devel-gcc8: MKpower_0.4.zip, r-release: MKpower_0.4.zip, r-oldrel: MKpower_0.4.zip
OS X binaries: r-release: MKpower_0.4.tgz, r-oldrel: MKpower_0.4.tgz

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