Searched refs:exog0 (Results 1 – 4 of 4) sorted by relevance
| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/discrete/ |
| H A D | discrete_margins.py | 149 exog0 = exog.copy()
150 exog0[:, i] -= 1
151 effect0 = model.predict(params, exog0)
152 exog0[:, i] += 2
170 exog0[:,i] = 0
173 exog0[:,i] = 1
206 exog0 = exog.copy()
208 exog0[:,i] = 0
239 exog0 = exog.copy()
240 exog0[:,i] -= 1
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/examples/ |
| H A D | ex_regressionplots.py | 33 exog0 = sm.add_constant(np.c_[x1, x2], prepend=False) variable
38 res = sm.OLS(y, exog0).fit()
86 res1a = sm.OLS(y, exog0[:,[0,2]]).fit()
87 res1b = sm.OLS(x1, exog0[:,[0,2]]).fit()
94 res2a = sm.OLS(y, exog0[:,[0,1]]).fit()
95 res2b = sm.OLS(x2, exog0[:,[0,1]]).fit()
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/graphics/tests/ |
| H A D | test_regressionplots.py | 53 exog0 = sm.add_constant(np.c_[x1, x2], prepend=False)
55 cls.res = sm.OLS(y, exog0).fit()
138 exog0 = sm.add_constant(np.c_[x1, x2], prepend=False)
139 exog0 = DataFrame(exog0, columns=["const", "var1", "var2"])
141 res = sm.OLS(y, exog0).fit()
143 data = DataFrame(exog0, columns=["const", "var1", "var2"])
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/statespace/tests/ |
| H A D | test_var.py | 33 exog0 = np.c_[np.ones(len(endog)), time_trend0, time_trend0**2] variable
149 mod = varmax.VARMAX(endog, order=(2, 0), exog=exog0[:, :2], trend='n',
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