My R package 'powerlmm' has now been update to version 0.3.0. It adds support for a more flexible effect size specifiation.

This post contains the slides from a talk I gave recently at Stockholm University

My R package 'powerlmm' has now been update to version 0.2.0. It contains several improvements, and new features.

Over the summer I've been working on finishing my new R package 'powerlmm', which is now almost complete. It provides flexible power calculations for typical two- and three-level longitudinal linear mixed models, with unbalanced treatment groups and cluster sizes, as well as with missing data and random slopes at both the subject and cluster-level.

I often get asked about how to fit different longitudinal models in lme/lmer. In this post I cover several different two-level, three-level and partially nested models.