rasch_full

def rasch_full(dataset, discrimination=1, options=None):
    """ Estimates difficulty parameters in Rash IRT model.

    Args:
        dataset: [items x participants] matrix of True/False Values
        discrimination: scalar of discrimination used in model (default to 1)
        options: dictionary with updates to default options

    Returns:
        difficulty: (1d array) difficulty estimates

    Options:
        * max_iteration: int
        * distribution: callable
        * quadrature_bounds: (float, float)
        * quadrature_n: int
    """
    return onepl_full(dataset, alpha=discrimination, options=options)[1]