A python package for risky choice modeling for expected utility theory, risk-return, Weber, and Hyperbolic models
Takes risky choice data, such as the probability, payoffs, and decisions, for n >= 3 decisions
returns estimated parameters, inverse temperature, fit_metrics, model type, and number of observations