powerly is a package that implements the method by Constantin et al. (2021) for conducting sample size analysis for
network models.
Maintainer: Mihai Constantin mihai@mihaiconstantin.com (ORCID)
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.
Useful links: