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mlpwr
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mlpwr . https://github.com/flxzimmer/mlpwr/issues . https://github.com/flxzimmer/mlpwr . mlpwr citation info . mlpwr results . mlpwr.pdf . mlpwr_1.1.1.tar.gz . mlpwr_1.1.1.zip . mlpwr_1.1.1.zip . mlpwr_1.1.1.zip . mlpwr_1.1.1.tgz . mlpwr_1.1.1.tgz . mlpwr_1.1.1.tgz . mlpwr_1.1.1.tgz . mlpwr_1.1.1.tgz . mlpwr_1.1.1.tgz . mlpwr archive . https://CRAN.R-project.org/package=mlpwr .
First Published: 2022-10-14
Latest Update: 2023-08-07
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 11 Apr. 2025.
Previous versions and publish date:
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Other R packages that mlpwr depends,
imports, suggests or enhances
Complete documentation for mlpwr
Functions, R codes and Examples using
the mlpwr R package
Some associated functions: example.simfun . extensions_results . find.design . plot.designresult . print.summary.designresult . simulations_data . summary.designresult .
Some associated R codes: addval.R . check.term.R . example.simfun.R . extensions_results.R . find.design.R . fit.surrogate.R . get.pred.R . helper.R . initpoints.R . plot.designresult.R . plot1d.R . plot2d_heat.R . plot2d_line.R . simulations_data.R . summary.designresult.R . Full mlpwr package functions and examples
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