dot-bf_deviance: Compute Deviance for Non-GEE Models

In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

Compute Deviance for Non-GEE Models

Description

Evaluates the mean deviance (or mean squared error as fallback) at the current fitted values. Used inside the damped Newton-Raphson outer loop of blockfit_solve for convergence monitoring.

Usage

.bf_deviance(y_vec, mu_vec, obs_wt, ord, fam, ...)

Arguments

y_vec	Numeric vector of observed responses.
mu_vec	Numeric vector of fitted means.
obs_wt	Numeric vector of observation weights.
ord	Integer vector of observation indices (passed to custom deviance residual functions).
fam	GLM family object.
...	Additional arguments forwarded to fam$custom_dev.resids.

Value

Scalar; the mean deviance contribution.

lgspline documentation built on May 8, 2026, 5:07 p.m.