12 Matching Annotations
  1. May 2026
    1. Dirichlet Priors With Concentration Parameter 0.148 for Intercepts

      Prior on the Intercepts: depend on number of levels; automatically estimated by the function.

    1. Strong internal validation using 100 repeats of 10-fold cross-validation or several hundred bootstrap resamples, repeating all analysis steps involving Y afresh at each re-sample and the arbitrariness of selected “important variables” is reported (if variable selection is used)

      also appropriate for small sample sizes

    1. Does not harm predictions on model construction sample

      about collinearity - as long as collinearity changes across new samples, this holds also for new samples

  2. Aug 2025