Long-format draws of the linear predictor for marginaleffects-style use

Returns a long-format data frame with one row per (draw, i, j, period) combination, giving the per-draw linear predictor (or response-scale prediction) at each dyad and period. Only the regression coefficients vary across .draw: the additive (a, b) and multiplicative (U, V) effects are held at their posterior means, so the spread across draws reflects coefficient uncertainty only, not the full posterior of the linear predictor. Intended for marginaleffects- / tidybayes-style downstream summarisation: column names follow the .draw / .chain / .iteration / .value convention so that tidybayes::spread_draws() and marginaleffects::posterior_draws() auto-dispatch on the returned data frame. Actor and period names from fit$Y's dimnames are carried forward into the actor_i, actor_j, period_label columns.

Usage

prediction_draws_long(
  object,
  newdata = NULL,
  type = c("link", "response"),
  n_draws = 100L,
  seed = NULL
)

Arguments

object: A fitted lame object.
newdata: Optional list of T dyadic covariate arrays for counterfactual evaluation. Default NULL uses in-sample covariates.
type: One of "link" (default) or "response".
n_draws: Number of posterior draws to use. Default 100.
seed: Optional RNG seed.

Value

A long-format data frame with columns .chain, .iteration, .draw, period, period_label, i, j, actor_i, actor_j, .value. Returned as a tibble when the tibble package is available; otherwise a plain data frame.