| defaults | R Documentation |
These functions provide default values for various settings in the
dRiftDM package.
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()
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.
the respective values/lists as described in the Details section
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