Run a multiverse of SCR scoring specifications — run_gazepoint_scr

Scores SCR amplitudes across multiple latency windows, thresholds, baseline methods, and response metrics. Optionally applies a user-supplied model function to each specification. This supports transparent sensitivity analysis and specification-curve style reporting.

Usage

run_gazepoint_scr_multiverse(
  dat,
  signal_col = "GSR_US",
  time_col = "time",
  trial_cols = NULL,
  condition_col = NULL,
  participant_col = NULL,
  event_time_col = NULL,
  latency_windows = list(c(1, 3), c(1, 4), c(1, 5)),
  thresholds = c(0.01, 0.05),
  baseline_methods = c("median", "mean"),
  baseline_window = c(-1, 0),
  response_metrics = c("max_minus_baseline"),
  model_function = NULL
)

Arguments

dat: Sample-level EDA data.
signal_col: Conductance/EDA signal column.
time_col: Time column, preferably relative to stimulus onset. If event_time_col is supplied, relative time is computed as time_col - event_time_col.
trial_cols: Columns identifying trials.
condition_col: Optional experimental condition column.
participant_col: Optional participant column.
event_time_col: Optional event/stimulus onset time column.
latency_windows: List of response windows in seconds.
thresholds: SCR response thresholds.
baseline_methods: Baseline methods: "median", "mean", or "none".
baseline_window: Baseline window in relative seconds.
response_metrics: Response metrics: "max_minus_baseline" or "peak_to_peak".
model_function: Optional function applied to each specification-level trial summary.

Value

A list with specification grid, scored trials, optional model results, and robustness overview.