Tidy a discounting comparison into a flat contrasts frame — tidy.beezdiscounting

generics::tidy() method for beezdiscounting_comparison objects (returned by get_dd_comparisons()). Produces a flat long tibble whose column names and order match the beezdemand beezdemand_comparison tidier, enabling downstream consumers to bind rows from both backends into a single frame. Note that the contrast label dialect differs: beezdiscounting emits native factor=level labels (e.g. "condition=C1 - condition=C2"), while beezdemand emits bare level labels (e.g. "C1 - C2"). Fully uniform emmeans-style contrast labels across backends are a future cross-backend item. The nested object keeps the native dialect (see get_dd_comparisons()).

Usage

# S3 method for class 'beezdiscounting_comparison'
tidy(x, exponentiate = FALSE, ...)

Arguments

x: A beezdiscounting_comparison object.
exponentiate: Logical. If TRUE, return base-invariant ratios (estimate = 10^estimate, CIs back-transformed); std.error becomes NA following broom's convention for exponentiated fits. Default FALSE (log10-scale contrasts).
...: Unused.

Value

A tibble with columns param, contrast, estimate, std.error, statistic, df, conf.low, conf.high, p.value (with leading by-column(s) inserted before param when contrast_by is active). Estimates and CIs are on the log10 scale (or ratios when exponentiate = TRUE). statistic is an asymptotic z (df = Inf). On the brms backend, statistic/df/p.value are NA (posterior summaries), the intervals are quantile credible intervals, and an additional post.prob column reports the posterior probability of direction.