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Glance method for beezdemand_nlme

Source: R/mixed-methods.R
glance.beezdemand_nlme.Rd

Glance method for beezdemand_nlme

Usage

# S3 method for class 'beezdemand_nlme'
glance(x, ...)

Arguments

x

A beezdemand_nlme object

...

Additional arguments (ignored)

Value

A one-row tibble of model statistics with columns:

  • model_class: "beezdemand_nlme"

  • backend: "nlme"

  • equation_form: The equation form used

  • nobs: Number of observations

  • n_subjects: Number of subjects

  • n_random_effects: Number of random-effect terms (e.g. 2 for Q0 + alpha ~ 1)

  • converged: Operational convergence status. TRUE when the final fit is usable for inference — i.e. apVar (nlme's approximate covariance of the variance-covariance parameters) is positive-definite AND there is no terminal error. Alias for final_fit_ok. It is not flipped to FALSE by iteration-level optimizer warnings (see fit_warned).

  • final_fit_ok: The canonical usable-for-inference gate (apVar PD and no terminal error); identical to converged. NLME-only.

  • fit_warned: Diagnostic flag — TRUE when nlme emitted iteration-level convergence warnings (false convergence, singular, step-halving, iteration limit, ...) during PNLS-LME alternation. Informational only; does not gate converged. NLME-only.

  • logLik, AIC, BIC: Model fit statistics

  • sigma: Residual standard error (NLME-only)

The shared canonical columns (through converged, logLik, AIC, BIC) match glance.beezdemand_tmb(), so backend-agnostic code needs no dispatch glue; final_fit_ok and fit_warned are additive NLME-only diagnostics.