on <a href="https://github.com/JeroenDMulder/powRICLPM/">GitHub</a>). 10,000
datasets were generated from an MI-RICLPM with a latent factor per
occasion and with three indicators. These factors contain a trait-like
part that is captured by the higher-order random intercepts, and a
state-like part that is used to capture the dynamics over time (see
bottom panel of Figure 3 in <span class="citation">Mulder and Hamaker
(2021)</span>). The factor loadings linking the indicators with the
latent factor were set t