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Estimates participant-level response probabilities with a conjugate Beta-Binomial model while preserving the conventional amplitude-threshold non-responder flag. Low-reactive participants are retained so hard exclusion can be evaluated as a sensitivity specification rather than preprocessing.

Usage

estimate_scr_responsivity_bayes(
  participant,
  amplitude,
  threshold = 0.02,
  prior_alpha = 1,
  prior_beta = 1,
  probability_cutoff = 0.5
)

Arguments

participant

Participant identifiers.

amplitude

Trial-level SCR amplitudes.

threshold

Conventional response threshold in microsiemens.

prior_alpha, prior_beta

Positive Beta prior parameters.

probability_cutoff

Optional posterior-probability cutoff used only for descriptive classification.

Value

A data frame with posterior responsivity parameters and flags.