Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing

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Documentation for package ‘mlmodels’ version 0.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

%||%	Null default operator
AIC.mlmodel	Extract AIC from mlmodel objects
AIC.summary.mlmodel	Extract AIC from mlmodel objects
BIC.mlmodel	Extract BIC from mlmodel objects
BIC.summary.mlmodel	Extract BIC from mlmodel objects
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
fitted.values.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)
get_modeldata.mlmodel	Extract data used to fit the model (for insight/marginaleffects compatibility)
GOFtest	Goodness-of-Fit Test for Count Models
GOFtest.mlmodel	Goodness-of-Fit Test for Count Models
gradientObs	Gradient (Score) by Observation
gradientObs.mlmodel	Gradient (Score) by Observation
hessianObs	Hessian by Observation
hessianObs.mlmodel	Hessian by Observation
IMtest	Information Matrix Test for Model Misspecification
IMtest.mlmodel	Information Matrix Test for Model Misspecification
logLik.mlmodel	Extract Log-Likelihood from mlmodel objects
logLik.summary.mlmodel	Extract Log-Likelihood from mlmodel objects
loglikeObs	Log-Likelihood by Observation
loglikeObs.mlmodel	Log-Likelihood by Observation
lrtest	Likelihood Ratio Test for Nested mlmodel Objects
lrtest.mlmodel	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
OVDtest	Overdispersion Tests for Count Models
predict.mlmodel	Predictions for mlmodel models
predict.ml_beta	Predictions for mlmodel models
predict.ml_gamma	Predictions for mlmodel models
predict.ml_lm	Predictions for mlmodel models
predict.ml_logit	Predictions for mlmodel models
predict.ml_negbin	Predictions for mlmodel models
predict.ml_poisson	Predictions for mlmodel models
predict.ml_probit	Predictions for mlmodel models
pw401k	401(k) Participation Rates
residuals.mlmodel	Extract Model Residuals
se	Extract Standard Errors from mlmodel Objects
se.mlmodel	Extract Standard Errors from mlmodel Objects
smoke	1979 National Health Interview Survey
summary.mlmodel	Summary for mlmodel objects
summary.ml_beta	Summary for mlmodel objects
summary.ml_gamma	Summary for mlmodel objects
summary.ml_lm	Summary for mlmodel objects
summary.ml_logit	Summary for mlmodel objects
summary.ml_negbin	Summary for mlmodel objects
summary.ml_poisson	Summary for mlmodel objects
summary.ml_probit	Summary for mlmodel objects
update.mlmodel	Update an mlmodel Call
update.ml_poisson	Update an mlmodel Call
vcov.mlmodel	Variance-Covariance Matrix for mlmodel Objects
vuongtest	Vuong's Test for Non-Nested Models
vuongtest.mlmodel	Vuong's Test for Non-Nested Models
waldtest	Wald Test for Linear Restrictions
waldtest.mlmodel	Wald Test for Linear Restrictions