Helper function to set default priors for scaled data

This function sets default priors for the parameters of the four-parameter logistic model when the data has been scaled. The priors are based on the expected range of the parameters after scaling.

Usage

hlpr_default_prior_for_scaled_data(scaled_data, x, y, scale_method)

Arguments

scale_method

The method used for scaling the data. Currently, only "min_max" is supported.

Value

A list of priors for the parameters of the four-parameter logistic model.