resample_helpers: Internal Helpers for Resampling of Summary Statistics

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

Internal Helpers for Resampling of Summary Statistics

Description

These functions support the construction of intervals for descriptive statistics computed from observed or simulated data. They are used internally by stats_resample_dm() methods.

Usage

stats_resample_wrapper(
  obs_data_split,
  one_set_idxs = NULL,
  type,
  b_coding,
  ...
)

resample_assemble(resample_list, level, original)

Arguments

obs_data_split	a named list of data.frames, containing a single set of observed data, splitted by condition
one_set_idxs	a named list of numeric vectors. Each entry contains indices to shuffle the data.frames in obs_data_split. Default NULL keeps obs_data_split as is.
type	a character, passed to calc_stats_pred_obs().
b_coding	a list with boundary coding information, , required to wrangle rts to match with calc_stats_pred_obs().
...	additional arguments passed to calc_stats_pred_obs().
resample_list	a list of statistics returned by calls to stats_resample_wrapper().
level	a numeric between 0 and 1, controlling the width of the interval.
original	a stats_dm object representing the statistic computed from the original data set or model prediction.

Details

stats_resample_wrapper() wraps a call to calc_stats_pred_obs() for use in resampling.

resample_assemble() takes a list of resampled statistics and the original statistic, and computes lower and upper bounds based on the requested level. It returns a stats_dm object with an added Estimate column.

Value

• stats_resample_wrapper() returns a single stats_dm object for one sample.

• resample_assemble() returns a stats_dm object containing the lower and upper interval bounds along with the original estimate.

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