The following summarizes classes and functions that are not intended to be directly used, but of interest only for internal use or for a developer who wants to extend on existing model classes.
These are the base classes for both the estimation models and the results. They are not directly useful, but layout the structure of the subclasses and define some common methods.
Model(endog[, exog]) | A (predictive) statistical model. |
LikelihoodModel(endog[, exog]) | Likelihood model is a subclass of Model. |
GenericLikelihoodModel(endog[, exog, ...]) | Allows the fitting of any likelihood function via maximum likelihood. |
Results(model, params, **kwd) | Class to contain model results |
LikelihoodModelResults(model, params[, ...]) | Class to contain results from likelihood models |
ResultMixin | |
GenericLikelihoodModelResults(model, mlefit) | A results class for the discrete dependent variable models. |
digraph inheritanceab4ace50c5 { rankdir=LR; fontsize=14; ratio=compress; size=""; "GLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.GLS.html#statsmodels.regression.linear_model.GLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Generalized least squares model with a general covariance structure.",height=0.25,shape=box,fontsize=10]; "RegressionModel" -> "GLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GLSAR" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.GLSAR.html#statsmodels.regression.linear_model.GLSAR",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A regression model with an AR(p) covariance structure.",height=0.25,shape=box,fontsize=10]; "GLS" -> "GLSAR" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "Model" -> "LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "OLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.OLS.html#statsmodels.regression.linear_model.OLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A simple ordinary least squares model.",height=0.25,shape=box,fontsize=10]; "WLS" -> "OLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionModel" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Base class for linear regression models not used by users.",height=0.25,shape=box,fontsize=10]; "LikelihoodModel" -> "RegressionModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.WLS.html#statsmodels.regression.linear_model.WLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A regression model with diagonal but non-identity covariance structure.",height=0.25,shape=box,fontsize=10]; "RegressionModel" -> "WLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; }
digraph inheritanceb120f7d520 { rankdir=LR; fontsize=14; ratio=compress; size=""; "GLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.GLS.html#statsmodels.regression.linear_model.GLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Generalized least squares model with a general covariance structure.",height=0.25,shape=box,fontsize=10]; "RegressionModel" -> "GLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GLSAR" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.GLSAR.html#statsmodels.regression.linear_model.GLSAR",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A regression model with an AR(p) covariance structure.",height=0.25,shape=box,fontsize=10]; "GLS" -> "GLSAR" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "Model" -> "LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModelResults" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModelResults.html#statsmodels.base.model.LikelihoodModelResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain results from likelihood models",height=0.25,shape=box,fontsize=10]; "Results" -> "LikelihoodModelResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "OLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.OLS.html#statsmodels.regression.linear_model.OLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A simple ordinary least squares model.",height=0.25,shape=box,fontsize=10]; "WLS" -> "OLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OLSResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.OLSResults.html#statsmodels.regression.linear_model.OLSResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Results class for for an OLS model.",height=0.25,shape=box,fontsize=10]; "RegressionResults" -> "OLSResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionModel" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Base class for linear regression models not used by users.",height=0.25,shape=box,fontsize=10]; "LikelihoodModel" -> "RegressionModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.RegressionResults.html#statsmodels.regression.linear_model.RegressionResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="This class summarizes the fit of a linear regression model.",height=0.25,shape=box,fontsize=10]; "LikelihoodModelResults" -> "RegressionResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "ResultsWrapper" -> "RegressionResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Results" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Results.html#statsmodels.base.model.Results",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain model results",height=0.25,shape=box,fontsize=10]; "ResultsWrapper" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class which wraps a statsmodels estimation Results class and steps in to",height=0.25,shape=box,fontsize=10]; "WLS" [style="setlinewidth(0.5)",URL="../generated/statsmodels.regression.linear_model.WLS.html#statsmodels.regression.linear_model.WLS",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A regression model with diagonal but non-identity covariance structure.",height=0.25,shape=box,fontsize=10]; "RegressionModel" -> "WLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; }
digraph inheritancea82bacdc4b { rankdir=LR; fontsize=14; ratio=compress; size=""; "Binomial" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.Binomial.html#statsmodels.genmod.families.family.Binomial",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Binomial exponential family distribution.",height=0.25,shape=box,fontsize=10]; "Family" -> "Binomial" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CDFLink" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.CDFLink.html#statsmodels.genmod.families.links.CDFLink",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The use the CDF of a scipy.stats distribution",height=0.25,shape=box,fontsize=10]; "Logit" -> "CDFLink" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CLogLog" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.CLogLog.html#statsmodels.genmod.families.links.CLogLog",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The complementary log-log transform",height=0.25,shape=box,fontsize=10]; "Logit" -> "CLogLog" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Family" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.Family.html#statsmodels.genmod.families.family.Family",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The parent class for one-parameter exponential families.",height=0.25,shape=box,fontsize=10]; "GLM" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.generalized_linear_model.GLM.html#statsmodels.genmod.generalized_linear_model.GLM",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Generalized Linear Models class",height=0.25,shape=box,fontsize=10]; "LikelihoodModel" -> "GLM" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GLMResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.generalized_linear_model.GLMResults.html#statsmodels.genmod.generalized_linear_model.GLMResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain GLM results.",height=0.25,shape=box,fontsize=10]; "LikelihoodModelResults" -> "GLMResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GLMResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "GLMResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Gamma" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.Gamma.html#statsmodels.genmod.families.family.Gamma",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Gamma exponential family distribution.",height=0.25,shape=box,fontsize=10]; "Family" -> "Gamma" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Gaussian" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.Gaussian.html#statsmodels.genmod.families.family.Gaussian",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Gaussian exponential family distribution.",height=0.25,shape=box,fontsize=10]; "Family" -> "Gaussian" [arrowsize=0.5,style="setlinewidth(0.5)"]; "InverseGaussian" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.InverseGaussian.html#statsmodels.genmod.families.family.InverseGaussian",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="InverseGaussian exponential family.",height=0.25,shape=box,fontsize=10]; "Family" -> "InverseGaussian" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "Model" -> "LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModelResults" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModelResults.html#statsmodels.base.model.LikelihoodModelResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain results from likelihood models",height=0.25,shape=box,fontsize=10]; "Results" -> "LikelihoodModelResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Link" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.Link.html#statsmodels.genmod.families.links.Link",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A generic link function for one-parameter exponential family.",height=0.25,shape=box,fontsize=10]; "Log" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.Log.html#statsmodels.genmod.families.links.Log",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The log transform",height=0.25,shape=box,fontsize=10]; "Link" -> "Log" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Logit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.Logit.html#statsmodels.genmod.families.links.Logit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The logit transform",height=0.25,shape=box,fontsize=10]; "Link" -> "Logit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "NegativeBinomial" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.NegativeBinomial.html#statsmodels.genmod.families.family.NegativeBinomial",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Negative Binomial exponential family.",height=0.25,shape=box,fontsize=10]; "Family" -> "NegativeBinomial" [arrowsize=0.5,style="setlinewidth(0.5)"]; "NegativeBinomial" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.NegativeBinomial.html#statsmodels.genmod.families.links.NegativeBinomial",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The negative binomial link function",height=0.25,shape=box,fontsize=10]; "Poisson" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.family.Poisson.html#statsmodels.genmod.families.family.Poisson",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Poisson exponential family.",height=0.25,shape=box,fontsize=10]; "Family" -> "Poisson" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Power" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.Power.html#statsmodels.genmod.families.links.Power",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The power transform",height=0.25,shape=box,fontsize=10]; "Link" -> "Power" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "ResultsWrapper" -> "RegressionResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Results" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Results.html#statsmodels.base.model.Results",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain model results",height=0.25,shape=box,fontsize=10]; "ResultsWrapper" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class which wraps a statsmodels estimation Results class and steps in to",height=0.25,shape=box,fontsize=10]; "cauchy" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.cauchy.html#statsmodels.genmod.families.links.cauchy",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The Cauchy (standard Cauchy CDF) transform",height=0.25,shape=box,fontsize=10]; "CDFLink" -> "cauchy" [arrowsize=0.5,style="setlinewidth(0.5)"]; "cloglog" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.cloglog.html#statsmodels.genmod.families.links.cloglog",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The CLogLog transform link function.",height=0.25,shape=box,fontsize=10]; "CLogLog" -> "cloglog" [arrowsize=0.5,style="setlinewidth(0.5)"]; "identity" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.identity.html#statsmodels.genmod.families.links.identity",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The identity transform",height=0.25,shape=box,fontsize=10]; "Power" -> "identity" [arrowsize=0.5,style="setlinewidth(0.5)"]; "inverse_power" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.inverse_power.html#statsmodels.genmod.families.links.inverse_power",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The inverse transform",height=0.25,shape=box,fontsize=10]; "Power" -> "inverse_power" [arrowsize=0.5,style="setlinewidth(0.5)"]; "inverse_squared" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.inverse_squared.html#statsmodels.genmod.families.links.inverse_squared",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The inverse squared transform",height=0.25,shape=box,fontsize=10]; "Power" -> "inverse_squared" [arrowsize=0.5,style="setlinewidth(0.5)"]; "log" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.log.html#statsmodels.genmod.families.links.log",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The log transform",height=0.25,shape=box,fontsize=10]; "Log" -> "log" [arrowsize=0.5,style="setlinewidth(0.5)"]; "logit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.logit.html#statsmodels.genmod.families.links.logit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25,shape=box,fontsize=10]; "Logit" -> "logit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "nbinom" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.nbinom.html#statsmodels.genmod.families.links.nbinom",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The negative binomial link function.",height=0.25,shape=box,fontsize=10]; "NegativeBinomial" -> "nbinom" [arrowsize=0.5,style="setlinewidth(0.5)"]; "probit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.genmod.families.links.probit.html#statsmodels.genmod.families.links.probit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The probit (standard normal CDF) transform",height=0.25,shape=box,fontsize=10]; "CDFLink" -> "probit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "sqrt" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="The square-root transform",height=0.25,shape=box,fontsize=10]; "Power" -> "sqrt" [arrowsize=0.5,style="setlinewidth(0.5)"]; }
digraph inheritancebdf38e32fc { rankdir=LR; fontsize=14; ratio=compress; size=""; "BinaryModel" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.BinaryModel.html#statsmodels.discrete.discrete_model.BinaryModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25,shape=box,fontsize=10]; "DiscreteModel" -> "BinaryModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BinaryResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.BinaryResults.html#statsmodels.discrete.discrete_model.BinaryResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for binary data",height=0.25,shape=box,fontsize=10]; "DiscreteResults" -> "BinaryResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BinaryResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "BinaryResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CountModel" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.CountModel.html#statsmodels.discrete.discrete_model.CountModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25,shape=box,fontsize=10]; "DiscreteModel" -> "CountModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CountResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.CountResults.html#statsmodels.discrete.discrete_model.CountResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for count data",height=0.25,shape=box,fontsize=10]; "DiscreteResults" -> "CountResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CountResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "CountResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiscreteModel" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.DiscreteModel.html#statsmodels.discrete.discrete_model.DiscreteModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Abstract class for discrete choice models.",height=0.25,shape=box,fontsize=10]; "LikelihoodModel" -> "DiscreteModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiscreteResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.DiscreteResults.html#statsmodels.discrete.discrete_model.DiscreteResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for the discrete dependent variable models.",height=0.25,shape=box,fontsize=10]; "LikelihoodModelResults" -> "DiscreteResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1BinaryResults" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Results instance for binary data fit by l1 regularization",height=0.25,shape=box,fontsize=10]; "BinaryResults" -> "L1BinaryResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1BinaryResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "L1BinaryResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1CountResults" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for count data fit by l1 regularization",height=0.25,shape=box,fontsize=10]; "DiscreteResults" -> "L1CountResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1CountResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "L1CountResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1MultinomialResults" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for multinomial data fit by l1 regularization",height=0.25,shape=box,fontsize=10]; "MultinomialResults" -> "L1MultinomialResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "L1MultinomialResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "L1MultinomialResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "Model" -> "LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModelResults" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModelResults.html#statsmodels.base.model.LikelihoodModelResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain results from likelihood models",height=0.25,shape=box,fontsize=10]; "Results" -> "LikelihoodModelResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Logit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.Logit.html#statsmodels.discrete.discrete_model.Logit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Binary choice logit model",height=0.25,shape=box,fontsize=10]; "BinaryModel" -> "Logit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LogitResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.LogitResults.html#statsmodels.discrete.discrete_model.LogitResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for Logit Model",height=0.25,shape=box,fontsize=10]; "BinaryResults" -> "LogitResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MNLogit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.MNLogit.html#statsmodels.discrete.discrete_model.MNLogit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Multinomial logit model",height=0.25,shape=box,fontsize=10]; "MultinomialModel" -> "MNLogit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "MultinomialModel" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.MultinomialModel.html#statsmodels.discrete.discrete_model.MultinomialModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25,shape=box,fontsize=10]; "BinaryModel" -> "MultinomialModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MultinomialResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.MultinomialResults.html#statsmodels.discrete.discrete_model.MultinomialResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for multinomial data",height=0.25,shape=box,fontsize=10]; "DiscreteResults" -> "MultinomialResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MultinomialResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "MultinomialResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "NegativeBinomial" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.NegativeBinomial.html#statsmodels.discrete.discrete_model.NegativeBinomial",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Negative Binomial Model for count data",height=0.25,shape=box,fontsize=10]; "CountModel" -> "NegativeBinomial" [arrowsize=0.5,style="setlinewidth(0.5)"]; "NegativeBinomialAncillaryResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.NegativeBinomialAncillaryResults.html#statsmodels.discrete.discrete_model.NegativeBinomialAncillaryResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for NegativeBinomial 1 and 2",height=0.25,shape=box,fontsize=10]; "CountResults" -> "NegativeBinomialAncillaryResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "NegativeBinomialAncillaryResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "NegativeBinomialAncillaryResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OrderedModel" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "DiscreteModel" -> "OrderedModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OrderedResults" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for ordered discrete data.",height=0.25,shape=box,fontsize=10]; "DiscreteResults" -> "OrderedResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OrderedResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "OrderedResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Poisson" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.Poisson.html#statsmodels.discrete.discrete_model.Poisson",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Poisson model for count data",height=0.25,shape=box,fontsize=10]; "CountModel" -> "Poisson" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Probit" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.Probit.html#statsmodels.discrete.discrete_model.Probit",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Binary choice Probit model",height=0.25,shape=box,fontsize=10]; "BinaryModel" -> "Probit" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ProbitResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.discrete.discrete_model.ProbitResults.html#statsmodels.discrete.discrete_model.ProbitResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A results class for Probit Model",height=0.25,shape=box,fontsize=10]; "BinaryResults" -> "ProbitResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "ResultsWrapper" -> "RegressionResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Results" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Results.html#statsmodels.base.model.Results",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain model results",height=0.25,shape=box,fontsize=10]; "ResultsWrapper" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class which wraps a statsmodels estimation Results class and steps in to",height=0.25,shape=box,fontsize=10]; }
digraph inheritance81aa61af22 { rankdir=LR; fontsize=14; ratio=compress; size=""; "LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "Model" -> "LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LikelihoodModelResults" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModelResults.html#statsmodels.base.model.LikelihoodModelResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain results from likelihood models",height=0.25,shape=box,fontsize=10]; "Results" -> "LikelihoodModelResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "RLM" [style="setlinewidth(0.5)",URL="../generated/statsmodels.robust.robust_linear_model.RLM.html#statsmodels.robust.robust_linear_model.RLM",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Robust Linear Models",height=0.25,shape=box,fontsize=10]; "LikelihoodModel" -> "RLM" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RLMResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.robust.robust_linear_model.RLMResults.html#statsmodels.robust.robust_linear_model.RLMResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain RLM results",height=0.25,shape=box,fontsize=10]; "LikelihoodModelResults" -> "RLMResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RLMResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "RegressionResultsWrapper" -> "RLMResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RegressionResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "ResultsWrapper" -> "RegressionResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Results" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Results.html#statsmodels.base.model.Results",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class to contain model results",height=0.25,shape=box,fontsize=10]; "ResultsWrapper" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class which wraps a statsmodels estimation Results class and steps in to",height=0.25,shape=box,fontsize=10]; }
digraph inheritance716089de69 { rankdir=LR; fontsize=14; ratio=compress; size=""; "base.model.LikelihoodModel" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.LikelihoodModel.html#statsmodels.base.model.LikelihoodModel",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Likelihood model is a subclass of Model.",height=0.25,shape=box,fontsize=10]; "base.model.Model" -> "base.model.LikelihoodModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "base.model.Model" [style="setlinewidth(0.5)",URL="generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="A (predictive) statistical model. Intended to be subclassed not used.",height=0.25,shape=box,fontsize=10]; "base.tsa_model.TimeSeriesModel" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Timeseries model base class",height=0.25,shape=box,fontsize=10]; "base.model.LikelihoodModel" -> "base.tsa_model.TimeSeriesModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "base.wrapper.ResultsWrapper" [style="setlinewidth(0.5)",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class which wraps a statsmodels estimation Results class and steps in to",height=0.25,shape=box,fontsize=10]; "vector_ar.var_model.FEVD" [style="setlinewidth(0.5)",URL="../generated/statsmodels.tsa.vector_ar.var_model.FEVD.html#statsmodels.tsa.vector_ar.var_model.FEVD",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Compute and plot Forecast error variance decomposition and asymptotic",height=0.25,shape=box,fontsize=10]; "vector_ar.var_model.VAR" [style="setlinewidth(0.5)",URL="../generated/statsmodels.tsa.vector_ar.var_model.VAR.html#statsmodels.tsa.vector_ar.var_model.VAR",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Fit VAR(p) process and do lag order selection",height=0.25,shape=box,fontsize=10]; "base.tsa_model.TimeSeriesModel" -> "vector_ar.var_model.VAR" [arrowsize=0.5,style="setlinewidth(0.5)"]; "vector_ar.var_model.VARProcess" [style="setlinewidth(0.5)",URL="../generated/statsmodels.tsa.vector_ar.var_model.VARProcess.html#statsmodels.tsa.vector_ar.var_model.VARProcess",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Class represents a known VAR(p) process",height=0.25,shape=box,fontsize=10]; "vector_ar.var_model.VARResults" [style="setlinewidth(0.5)",URL="../generated/statsmodels.tsa.vector_ar.var_model.VARResults.html#statsmodels.tsa.vector_ar.var_model.VARResults",fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",tooltip="Estimate VAR(p) process with fixed number of lags",height=0.25,shape=box,fontsize=10]; "vector_ar.var_model.VARProcess" -> "vector_ar.var_model.VARResults" [arrowsize=0.5,style="setlinewidth(0.5)"]; "vector_ar.var_model.VARResultsWrapper" [shape=box,style="setlinewidth(0.5)",fontsize=10,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",height=0.25]; "base.wrapper.ResultsWrapper" -> "vector_ar.var_model.VARResultsWrapper" [arrowsize=0.5,style="setlinewidth(0.5)"]; }