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Default Values for the dRiftDM Package

Source: R/utils.R
defaults.Rd

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_n_bins()

drift_dm_default_b_coding()

drift_dm_skip_if_contr_low()

drift_dm_n_id_trunc_warn()

Value

the respective values/lists as described in the Details section

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-06).

  • 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-8).

  • 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_n_bins(): Returns the default number of bins for a CAF (5)

  • 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))

  • drift_dm_skip_if_contr_low(): returns the value 0.0001. If a PDF integrates to a value lower than that (i.e., if there is almost no contribution of a PDF; most likely this will be pdf_l), then summary functions returned by calc_stats() might contain the value NA for the respective PDF.

  • drift_dm_n_id_trunc_warn(): returns 15. If there are warnings relevant to multiple participants, the printed IDs are truncated at 15.