Login Register

static LogitResults.resid_generalized()

statsmodels.discrete.discrete_model.LogitResults.resid_generalized

static LogitResults.resid_generalized() [source]

Generalized residuals

Notes

The generalized residuals for the Logit model are defined

$y - p$

where $p=cdf(X\beta)$ . This is the same as the resid_response for the Logit model.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.LogitResults.resid_generalized.html

doc_statsmodels

2017-01-18 16:17:50

Comments

Leave a Comment

Please login to continue.

Popular Articles

static LogitResults.resid_dev() statsmodels.discrete.discrete_model.LogitResults.resid_dev static LogitResults.resid_dev() Deviance residuals Notes Deviance residuals are defined

static LogitResults.resid_response() statsmodels.discrete.discrete_model.LogitResults.resid_response static LogitResults.resid_response() The response residuals Notes Response residua

static LogitResults.resid_pearson() statsmodels.discrete.discrete_model.LogitResults.resid_pearson static LogitResults.resid_pearson() Pearson residuals Notes Pearson residuals are d

static ProbitResults.resid_generalized() statsmodels.discrete.discrete_model.ProbitResults.resid_generalized static ProbitResults.resid_generalized() [source] Generalized residuals Notes

static LogitResults.fittedvalues() statsmodels.discrete.discrete_model.LogitResults.fittedvalues static LogitResults.fittedvalues()