Bayesian Statistics, Data Science, Linear Regression, Data Analysis, R.
inherent in the repeated measurements at each time point. In this way, we aim to model the underlying variability directly, rather than simplifying the data by averaging. The importance of this approach is that we respect the hierarchy of the data. In our case, measurements are nested within