defaults: Default Values for the dRiftDM Package

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

Default Values for the dRiftDM Package

Description

These functions provide default values for various settings in the dRiftDM package.

Usage

drift_dm_approx_error()

drift_dm_medium_approx_error()

drift_dm_small_approx_error()

drift_dm_rough_approx_error()

drift_dm_robust_prm()

drift_dm_default_rounding()

drift_dm_default_probs()

drift_dm_default_b_coding()

Details

• drift_dm_approx_error(): Returns the default approximation error for precise calculations (1e-20).

• drift_dm_medium_approx_error(): Returns a 'medium' level of approximation error (1e-04).

• drift_dm_small_approx_error(): Returns a 'small' level of approximation error (.01).

• drift_dm_rough_approx_error(): Returns a rough level of approximation error (.1).

• drift_dm_robust_prm(): Returns a value that is added to the PDFs after convolution with the non-decision time to make parameter estimation and the evaluation of the log-likelihood more robust (1e-10).

• drift_dm_default_rounding(): Returns the default rounding precision for numerical outputs (3).

• drift_dm_default_probs(): Returns the default sequence of probabilities for quantiles (0.1, 0.2, ..., 0.9)

• drift_dm_default_b_coding(): Returns the default boundary coding (list(column = "Error", u_name_value = c("corr" = 0), l_name_value = c("err" = 1))

Value

the respective values/lists as described in the Details section

dRiftDM documentation built on April 3, 2025, 7:48 p.m.