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Update aggregated statistics in a drift_dm object

Source: R/core_dm.R
update_stats_agg.Rd

Internal function that creates or updates the aggregated statistics (stats_agg and stats_agg_info) in a drift_dm object, depending on the specified cost function. For maximum likelihood estimation ("neg_log_like"), aggregated statistics are removed, because the raw RTs are used directly.

Usage

update_stats_agg(
  drift_dm_obj,
  which_cost_function,
  probs = NULL,
  n_bins = NULL
)

Arguments

drift_dm_obj

a drift_dm object.

which_cost_function

a character string, indicating which cost function is used. Must be one of drift_dm_cost_functions().

probs

optional numeric vector of probabilities for quantile calculation. If NULL, defaults are taken from drift_dm_default_probs().

n_bins

an optional integer, giving the number of bins for the CAFs. If NULL, defaults are taken from drift_dm_default_n_bins().

Value

the input drift_dm_obj, with its stats_agg and stats_agg_info entries updated or removed, depending on the cost function and availability of observed data

Note

This function is called by obs_data() and cost_function()

See also

obs_data(), cost_function(), drift_dm()