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 [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:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MKpower to link to this page.