Initial CRAN release.
within_between_correlations() computes within-group
and between-group correlations for nested data (e.g., repeated
measurements per person, or students nested within schools), using one
of three methods: variance decomposition (default), two-level structural
equation modeling (via lavaan), or Bayesian multilevel
modeling (via brms).
mldesc() creates publication-ready descriptive
statistics tables that combine means, SDs, ranges, intraclass
correlation coefficients (ICCs), and within-/between-group correlations
in a single table.
decompose_within_between() decomposes variables into
within-group and between-group components for use in Random Effects
Within-Between (REWB) models.
Result tables print as tibbles by default and can be exported as
gt or tinytable objects via
print(result, format = "gt") or
print(result, format = "tt").
Includes the media_diary example dataset, a
simulated daily-diary study used throughout the documentation and
vignettes to illustrate within-person vs. between-person
relationships.