Regression with Discrete Dependent Variable

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static LogitResults.resid_pearson()

statsmodels.discrete.discrete_model.LogitResults.resid_pearson

2017-01-18 16:17:51

DiscreteModel.fit()

statsmodels.discrete.discrete_model.DiscreteModel.fit

2017-01-18 16:08:19

static NegativeBinomialResults.tvalues()

statsmodels.discrete.discrete_model.NegativeBinomialResults.tvalues

2017-01-18 16:18:04

statsmodels.discrete.discrete_model.Logit.cdf Logit.cdf(X)

2017-01-18 16:11:36

ProbitResults.initialize()

statsmodels.discrete.discrete_model.ProbitResults.initialize

2017-01-18 16:14:26

static ProbitResults.llr()

statsmodels.discrete.discrete_model.ProbitResults.llr

2017-01-18 16:18:30

MultinomialResults.conf_int()

statsmodels.discrete.discrete_model.MultinomialResults.conf_int

2017-01-18 16:12:30

Probit.predict()

statsmodels.discrete.discrete_model.Probit.predict

2017-01-18 16:14:23

NegativeBinomialResults.load()

statsmodels.discrete.discrete_model.NegativeBinomialResults.load

2017-01-18 16:12:49

CountModel.fit()

statsmodels.discrete.discrete_model.CountModel.fit

2017-01-18 16:07:41

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