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mlpwr  

A Power Analysis Toolbox to Find Cost-Efficient Study Designs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlpwr", "1.1.1")



Attach the package and use:
library("mlpwr")
Maintained by
Felix Zimmer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-14
Latest Update: 2024-10-03
Description:
We implement a surrogate modeling algorithm to guide simulation-based sample size planning. The method is described in detail in a recent preprint (Zimmer & Debelak (2022) ). It supports multiple study design parameters and optimization with respect to a cost function. It can find optimal designs that correspond to a desired statistical power or that fulfill a cost constraint.
How to cite:
Felix Zimmer (2022). mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs. R package version 1.1.1, https://cran.r-project.org/web/packages/mlpwr. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 1.0.0 (2022-10-14 15:30), 1.0.1 (2023-07-08 00:10), 1.1.0 (2023-08-07 12:50)
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Complete documentation for mlpwr
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