powerly-package: Sample Size Analysis for Psychological Networks and More
In powerly: Sample Size Analysis for Psychological Networks and More
powerly-package R Documentation
Sample Size Analysis for Psychological Networks and More
Description
powerly is a package that implements the method by Constantin et al. (2021) for conducting sample size analysis for
network models.
Details
The method implemented is implemented in the main function powerly(). The
implementation takes the form of a three-step recursive algorithm designed to
find an optimal sample size value given a model specification and an outcome
measure of interest. It starts with a Monte Carlo simulation step for
computing the outcome at various sample sizes. It continues with a monotone
curve-fitting step for interpolating the outcome. The final step employs
stratified bootstrapping to quantify the uncertainty around the fitted curve.
Author(s)
Maintainer: Mihai Constantin mihai@mihaiconstantin.com (ORCID)
See Also
Useful links:
powerly documentation built on Sept. 9, 2022, 5:07 p.m.
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| powerly-package | R Documentation |
Sample Size Analysis for Psychological Networks and More
Description
powerly is a package that implements the method by Constantin et al. (2021) for conducting sample size analysis for
network models.
Details
The method implemented is implemented in the main function powerly(). The
implementation takes the form of a three-step recursive algorithm designed to
find an optimal sample size value given a model specification and an outcome
measure of interest. It starts with a Monte Carlo simulation step for
computing the outcome at various sample sizes. It continues with a monotone
curve-fitting step for interpolating the outcome. The final step employs
stratified bootstrapping to quantify the uncertainty around the fitted curve.
Author(s)
Maintainer: Mihai Constantin mihai@mihaiconstantin.com (ORCID)
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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