MKpower-package | R Documentation |
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>), and ANCOVA (Shieh (2020), <doi:10.1007/s11336-019-09692-3>).
Package: | MKpower |
Type: | Package |
Version: | 0.7 |
Date: | 2023-04-22 |
Depends: | R(>= 3.5.0) |
Imports: | stats, matrixTests(>= 0.2), ggplot2, MKdescr, MKinfer(>= 0.4), qqplotr, coin |
Suggests: | knitr, rmarkdown |
License: | LGPL-3 |
URL: | https://github.com/stamats/MKpower |
library(MKpower)
Matthias Kohl https://www.stamats.de
Maintainer: Matthias Kohl matthias.kohl@stamats.de
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.