new_drift_dm: Create a DDM model - internal

In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

Create a DDM model — internal

Description

This function assembles all components to create a drift_dm object.

Usage

new_drift_dm(
  flex_prms_obj,
  sigma,
  t_max,
  dt,
  dx,
  solver,
  comp_funs,
  cost_function,
  subclass,
  b_coding = NULL,
  obs_data = NULL
)

Arguments

flex_prms_obj	a flex_prms object.
sigma	the diffusion noise (sigma).
t_max	the maximum trial duration (t_max).
dt	the temporal step size (dt).
dx	the evidence step size (dx).
solver	a string identifying the solver (e.g., "kfe").
comp_funs	a list of component functions.
cost_function	a string, defining how to compute the fit cost.
subclass	a string with model info label set for the child class.
b_coding	an optional list with boundary coding (e.g., drift_dm_default_b_coding()).
obs_data	an optional data.frame with observed data.

Details

We do not perform input checks here; we just assemble the object. Any pre-wrangling is done in drift_dm(). Checks are performed by validate_drift_dm(), which is called indirectly via the setters (e.g., prms_solve() and obs_data()).

Value

A list with elements flex_prms_obj, prms_solve, solver, comp_funs, and cost_function. The object has class attributes c(subclass, "drift_dm") and an attribute "b_coding" containing the boundary coding. If obs_data is not NULL, the observed data are attached via obs_data().

See Also

drift_dm(), validate_drift_dm(), obs_data(), drift_dm_default_b_coding(), prms_solve().

dRiftDM documentation built on Dec. 1, 2025, 5:08 p.m.