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powerly  

Sample Size Analysis for Psychological Networks and More
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]
All associated links for this package
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 07 Nov. 2024.
Previous versions and publish date:
1.5.2 (2021-09-30 11:00), 1.7.1 (2021-11-08 10:00), 1.7.2 (2021-11-17 12:50), 1.7.4 (2022-05-01 17:40)
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