powerAD is designed to help researchers construct well-powered and efficient experience-sampling studies. This package covers power analyses for hypotheses regarding dynamic (variability, instability, inertia) or static (average) measures of affect. powerAD is based on the empirical power estimations presented in Pirla et al. (2021).
You can read the full paper here.
You can learn how to install powerAD and how to estimate power and required sample size (both participants and affect reports per participant) in here.
We also programmed a Shiny app that runs the main functions included in this package. Shiny App