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powerly
View on CRAN: Click
here
Download and install powerly package within the R console
Install from CRAN:
install.packages("powerly")
Install from Github:
library("remotes")
install_github("cran/powerly")
Install by package version:
library("remotes")
install_version("powerly", "1.8.6")
Attach the package and use:
library("powerly")
Maintained by
Mihai Constantin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.powerly . https://github.com/mihaiconstantin/powerly/issues . https://powerly.dev . powerly citation info . powerly results . powerly.pdf . powerly_1.8.6.tar.gz . powerly_1.8.6.zip . powerly_1.8.6.zip . powerly_1.8.6.zip . powerly_1.8.6.tgz . powerly_1.8.6.tgz . powerly_1.8.6.tgz . powerly_1.8.6.tgz . powerly archive . https://CRAN.R-project.org/package=powerly .
First Published: 2021-09-30
Latest Update: 2022-09-09
Description:
An implementation of the sample size computation method for network
models proposed by Constantin et al. (2021) .
The implementation takes the form of a three-step recursive algorithm
designed to find an optimal sample size given a model specification and a
performance measure of interest. It starts with a Monte Carlo simulation
step for computing the performance measure and a statistic at various sample
sizes selected from an initial sample size range. It continues with a
monotone curve-fitting step for interpolating the statistic across the entire
sample size range. The final step employs stratified bootstrapping to quantify
the uncertainty around the fitted curve.
How to cite:
Mihai Constantin (2021). powerly: Sample Size Analysis for Psychological Networks and More. R package version 1.8.6, https://cran.r-project.org/web/packages/powerly. Accessed 02 May. 2025.
Previous versions and publish date:
Other packages that cited powerly R package
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Other R packages that powerly depends,
imports, suggests or enhances
Complete documentation for powerly
Functions, R codes and Examples using
the powerly R package
Some associated functions: LOGO . generate_model . make_logo . plot.Method . plot.StepOne . plot.StepThree . plot.StepTwo . plot.Validation . plot_settings . powerly-package . powerly . summary.Method . summary.Validation . validate .
Some associated R codes: Backend.R . Basis.R . GgmModel.R . Interpolation.R . Method.R . Model.R . ModelFactory.R . OsqpSolver.R . PowerStatistic.R . QuadprogSolver.R . Range.R . Solver.R . SolverFactory.R . Spline.R . Statistic.R . StatisticFactory.R . StepOne.R . StepThree.R . StepTwo.R . Validation.R . constants.R . exports.R . helpers.R . logo.R . powerly-package.R . Full powerly package functions and examples
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