Tidy method for beezdemand_nlme

Usage

# S3 method for class 'beezdemand_nlme'
tidy(
  x,
  effects = c("fixed", "ran_pars"),
  report_space = c("natural", "log10"),
  df_method = c("containment", "between"),
  ...
)

Arguments

x: A beezdemand_nlme object
effects: Character. Which effects to include: "fixed", "ran_pars", or both (the default).
report_space: Character. Reporting space for core parameters. One of "natural" or "log10" (match.arg default "natural"). estimate/std.error follow this scale; statistic/p.value are always on the estimation scale (nlme's native containment-t test, which is transformation-invariant).
df_method: Character. "containment" (default) reports nlme's own df, which uses the observation-level residual df for between-subject terms as well, so their p-values are anticonservative; "between" substitutes n_subjects - rank(X_between) for between-subject terms and recomputes their p-values. See summary.beezdemand_nlme() for the rule.
...: Additional arguments (ignored)

Value

A tibble of model terms with columns:

term: Parameter name
estimate: Point estimate. For component == "variance" rows this is a standard deviation (pulled from nlme::VarCorr(model)[, "StdDev"]), matching tidy.beezdemand_tmb() and the broom.mixed::tidy.lme convention.
std.error: Standard error (NA for variance components)
statistic: t-value (NA for variance components)
p.value: P-value (NA for variance components)
df: Degrees of freedom the p-value uses (NA for variance components); see df_method
component: "fixed" or "variance"
estimate_scale: Scale that estimate is reported on
term_display: Display label for term
estimate_internal: Pre-transform estimate; present whenever effects includes "fixed"