AIC.mlmodel             Extract AIC from mlmodel objects
BIC.mlmodel             Extract BIC from mlmodel objects
GOFtest                 Goodness-of-Fit Test for Count Models
IMtest                  Information Matrix Test for Model
                        Misspecification
OVDtest                 Overdispersion Tests for Count Models
coef.mlmodel            Extract Model Coefficients
confint.mlmodel         Confidence Intervals for mlmodel Coefficients
docvis                  U.S. Medical Expenditure Panel Survey
find_predictors.mlmodel
                        Extract the predictors used in the model (for
                        insight/marginaleffects compatibility)
find_variables.mlmodel
                        Extract the variables used in the model (for
                        insight/marginaleffects compatibility)
fitted.mlmodel          Extract Fitted Values from mlmodel
formula.mlmodel         Extract value formula from mlmodel objects
get_data.mlmodel        Extract data used to fit the model (for
                        insight/marginaleffects compatibility)
gradientObs             Gradient (Score) by Observation
hessianObs              Hessian by Observation
logLik.mlmodel          Extract Log-Likelihood from mlmodel objects
loglikeObs              Log-Likelihood by Observation
lrtest                  Likelihood Ratio Test for Nested mlmodel
                        Objects
ml_beta                 Fit Beta Model by Maximum Likelihood
ml_gamma                Fit Gamma Model by Maximum Likelihood
ml_lm                   Fit linear model by Maximum Likelihood
ml_logit                Fit Binary Logit Model by Maximum Likelihood
ml_negbin               Fit negative binomial models by Maximum
                        Likelihood
ml_poisson              Fit Poisson model by Maximum Likelihood
ml_probit               Fit Binary Probit Model by Maximum Likelihood
mroz                    University of Michigan Panel Study of Income
                        Dynamics (PSID)
nobs.mlmodel            Extract the Number of Observations from an
                        mlmodel
null-default            Null default operator
predict.ml_beta         Predictions for mlmodel models
pw401k                  401(k) Participation Rates
residuals.mlmodel       Extract Model Residuals
se                      Extract Standard Errors from mlmodel Objects
smoke                   1979 National Health Interview Survey
summary.ml_beta         Summary for mlmodel objects
update.mlmodel          Update an mlmodel Call
vcov.mlmodel            Variance-Covariance Matrix for mlmodel Objects
vuongtest               Vuong's Test for Non-Nested Models
waldtest                Wald Test for Linear Restrictions
