Fit a block-constant reduced VCMoE model — vcmoe_fit

Refits a VCMoE object under a block-constant coefficient constraint. A local-grid reference uses the established constrained BFGS optimizer; a joint-path reference uses a paper-inspired sample-weighted grid projection and applies the selected constraint after every M-step. This projection is not a generic constrained optimizer, and its diagnostic likelihood need not be monotone.

Usage

vcmoe_fit_reduced(
  fit,
  constrain = c("gating_constant", "expert_constant", "all_constant"),
  control = list()
)

Arguments

fit: A vcmoe fit.
constrain: Constraint to impose. "gating_constant" freezes the gating contrast functions in u; "expert_constant" freezes expert mean functions and family dispersion paths; "all_constant" freezes all fitted coefficient functions.
control: Controls for constrained null fitting. With the default strict = TRUE, a nonconverged reduced fit is rejected.

Value

A reduced object of class vcmoe with recomputed posterior and likelihood caches.