Other packages > Find by keyword >

MKpower  

Power Analysis and Sample Size Calculation
View on CRAN: Click here


Download and install MKpower package within the R console
Install from CRAN:
install.packages("MKpower")

Install from Github:
library("remotes")
install_github("cran/MKpower")

Install by package version:
library("remotes")
install_version("MKpower", "1.1")



Attach the package and use:
library("MKpower")
Maintained by
Matthias Kohl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-02
Latest Update: 2024-09-23
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), ; Dobbin and Simon (2007), ) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), ; Thulin (2014), ), comparing two negative binomial rates (Zhu and Lakkis (2014), ), ANCOVA (Shieh (2020), ), reference ranges (Jennen-Steinmetz and Wellek (2005), ), and multiple primary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5).
How to cite:
Matthias Kohl (2020). MKpower: Power Analysis and Sample Size Calculation. R package version 1.1, https://cran.r-project.org/web/packages/MKpower. Accessed 05 Aug. 2026.
Previous versions and publish date:
0.4 (2020-02-02 15:40), 0.5 (2020-11-28 15:50), 0.6 (2023-04-11 01:10), 0.7 (2023-04-22 23:10), 0.8 (2024-03-12 16:50), 0.9 (2024-04-08 00:33), 1.0 (2024-09-23 16:30), (2026-07-09 08:09)
Other packages that cited MKpower R package
View MKpower citation profile
Other R packages that MKpower depends, imports, suggests or enhances
Complete documentation for MKpower
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA