Prepare behavioral data for likelihood evaluation

`prepare_data()` expands trial-level observations to the accumulator layout expected by the compiled likelihood code and tags the result as trusted likelihood input.

Usage

prepare_data(structure, data_df, compress = FALSE, prep = NULL)

Arguments

structure: Finalized model structure.
data_df: Behavioral data. In the simplest case this contains `trial`, `R`, and `rt`; for multi-outcome models it can also contain `R2`, `rt2`, and so on.
compress: If `TRUE`, collapse repeated prepared trials and attach an `expand` mapping for `log_likelihood()` to reuse automatically. Defaults to `FALSE`.
prep: Optional preprocessed model bundle.

Value

An `accumulatr_data` object.

Examples

spec <- race_spec()
spec <- add_accumulator(spec, "A", "lognormal")
spec <- add_outcome(spec, "A_win", "A")
structure <- finalize_model(spec)
params_df <- build_param_matrix(
  spec,
  c(A.m = 0, A.s = 0.1, A.q = 0, A.t0 = 0),
  n_trials = 2
)
data_df <- simulate(structure, params_df, seed = 1)
prepare_data(structure, data_df)
#>   trial     R        rt accumulator onset   component
#> 1     1 A_win 0.9679031           A     0 __default__
#> 2     2 A_win 0.9198333           A     0 __default__