INNER CODE UNIT · Python

pcov

mszell/geospatialdatascience · unit11_mobilityindividual/stats_utils.py:283

        pcov = cov * s_sq
    else:
        pcov = float('Inf')

    R2 = 1.0 - (infodict['fvec']**2.0).sum() / standard_dev(y)**2.0 / len(y)

    # Detailed Output: p,cov,infodict,mesg,ier,pcov,R2
    return popt,cov,infodict,mesg,ier,pcov,R2



    #______________________________________#
    #                                      #
    #       Maximum Likelihood Fit         #
    #______________________________________#
    #                                      #

def maximum_likelihood(function, parameters, data, full_output=True, verbose=True):

View source record →