summary.vcmm_fit: Summarise a vcmm fit

In cevcmm: Communication-Efficient Varying Coefficient Mixed-Effects Models

Summarise a vcmm fit

Description

Produces a vcmm_summary object with a coefficient table for the fixed-effects, the variance components, and basic fit diagnostics. print() renders it in the style of lm / lmer.

Usage

## S3 method for class 'vcmm_fit'
summary(object, ...)

## S3 method for class 'vcmm_summary'
print(
  x,
  digits = max(3L, getOption("digits") - 3L),
  signif.stars = getOption("show.signif.stars"),
  ...
)

Arguments

object	A vcmm_fit object.
...	Unused.
x	A vcmm_summary object.
digits	Integer. Number of significant digits to display.
signif.stars	Logical. If TRUE, append significance stars to the coefficient table.

Details

The standard errors are the square roots of the diagonal of vcov(object, which = "beta"), treating \sigma_\varepsilon and \sigma_\alpha (or \Sigma_\alpha) as fixed at their fitted values. They are first-order valid (Theorem 3.1) but do not adjust for variance-component uncertainty.

For re_cov %in% c("kronecker", "separable"), the variance- components block of the printed summary displays the estimated \Sigma_{\mathrm{left}} (\Sigma_{2\times 2} for OD or \Sigma_q for group-shared dense) instead of a scalar \sigma_\alpha.

Value

A list of class "vcmm_summary".

cevcmm documentation built on July 24, 2026, 5:07 p.m.