Posterior predictive summaries for accuracy and RT — diffusion_posterior

Part of the research-scale validation, advanced-model, interoperability, storage, adapter, or reproducibility programme. Experimental model functions remain subject to declared evidence gates.

Usage

diffusion_posterior_predictive(object, draws = 200L, method = c("rtdists",
  "stan_proxy"), seed = 1L)

Arguments

object: Diffusion fit.
draws: Number of generated-quantity draws to retain.
method: Value for `method`. See the function description and relevant article for constraints.
seed: Value for `seed`. See the function description and relevant article for constraints.

Value

The documented eyeprocess object, data frame, plot, report path, or adapter result.