Creates a confidence region plot for the mean of bivariate data
Parameters : | m1_low : float
m1_upp : float
mu2_low : float
mu2_upp : float
step1 : float
step2 : float
levs : list
plot_dta : bool
var1_name : str
var2_name : str
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Notes
The smaller the step size, the more accurate the intervals will be
If the function returns optimization failed, consider narrowing the boundaries of the plot
Examples
>>> two_rvs = np.random.standard_normal((20,2))
>>> el_analysis = sm.empllike.DescStat(two_rvs)
>>> contourp = el_analysis.mv_mean_contour(-2, 2, -2, 2, .1, .1)
>>> contourp.show()