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) (doi:10.1016/j.jclinepi.2004.12.009; doi:10.1093/biostatistics/kxj036) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; doi:10.1016/j.csda.2003.10.002; doi:10.1214/14-ejs909), comparing two negative binomial rates (doi:10.1002/sim.5947), ANCOVA (doi:10.1007/s11336-019-09692-3), reference ranges (doi:10.1002/sim.2177), multiple primary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5), and AUC (doi:10.1148/radiology.143.1.7063747).
- Version1.0
- R version≥ 3.5.0
- LicenseLGPL-3
- Needs compilation?No
- MKpower citation info
- Last release09/23/2024
Documentation
Team
Matthias Kohl
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 404 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,360 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 26, 2024 with 75 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports7 packages
- Suggests2 packages