Mixed-effect multivariate regression — mixed

Fit the row-side design geometry for operator-valued ANOVA. Supports fixed-effect designs (random = NULL) and grouped random-effects designs with a single grouping variable (random intercept and optional random slopes, shared-Omega across response features).

Usage

mixed_regress(
  Y,
  design = NULL,
  fixed,
  random = NULL,
  basis = identity_basis(),
  preproc = center(),
  ...
)

Arguments

Y: Response matrix (n_obs x p) or 3D array (n_subject x n_within x p).
design: Optional design data frame. Required for matrix input.
fixed: Fixed-effect formula.
random: Random-effect specification. Either NULL (fixed-effects only) or a one-sided formula of the form ~ ... | group understood by reformulas::findbars() / lme4::findbars(). All random-effects bars must share a single grouping variable.
basis: Feature basis specification or projector-like object.
preproc: Response preprocessor.
...: Reserved for future extensions.

Value

A mixed_fit object.