nl_summary: Tidy coefficient table for an nl_fit model

In MultiSpline: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data

Tidy coefficient table for an nl_fit model

Description

Produces a tidy coefficient table for a model fitted by nl_fit. For linear mixed models (lmerMod), optional p-values and denominator degrees of freedom are obtained via lmerTest (Satterthwaite method). For GLMMs (glmerMod), z-tests are reported from summary().

Usage

nl_summary(
  object,
  digits = 3,
  pvals = TRUE,
  df_method = c("satterthwaite", "none")
)

Arguments

object	An nl_fit object returned by nl_fit.
digits	Integer; number of decimal places for rounding. If NULL, no rounding is applied. Default 3.
pvals	Logical; if TRUE, attempts to include p-values. Default TRUE.
df_method	For lmerMod with pvals = TRUE: "satterthwaite" (requires lmerTest) or "none". Default "satterthwaite".

Value

A data frame (or tibble) with columns: Term, Estimate, Std.Error, df (if available), statistic, and p.value (if available).

See Also

nl_fit, summary.nl_fit

MultiSpline documentation built on April 16, 2026, 9:06 a.m.