Package index • GLMMadaptive

All functions
`cr_setup()` `cr_marg_probs()`	Functions to Set-Up Data for a Continuation Ratio Mixed Model
`effectPlotData()`	Predicted Values for Effects Plots
`students.t()` `beta.fam()` `zi.poisson()` `zi.binomial()` `zi.negative.binomial()` `hurdle.poisson()` `hurdle.negative.binomial()` `hurdle.lognormal()` `hurdle.beta.fam()` `unit.lindley()` `beta.binomial()` `Gamma.fam()` `censored.normal()`	Family functions for Student's-t, Beta, Zero-Inflated and Hurdle Poisson and Negative Binomial, Hurdle Log-Normal, Hurdle Beta, Gamma, and Censored Normal Mixed Models
`GLMMadaptive-package` `GLMMadaptive`	Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
`marginal_coefs()`	Marginal Coefficients from Generalized Linear Mixed Models
`coef()` `fixef()` `ranef()` `confint()` `anova()` `fitted()` `residuals()` `predict()` `simulate()` `terms()` `formula()` `model.frame()` `model.matrix()` `nobs()` `VIF()` `cooks.distance()`	Various Methods for Standard Generics
`mixed_model()`	Generalized Linear Mixed Effects Models
`negative.binomial()`	Family function for Negative Binomial Mixed Models
`scoring_rules()`	Proper Scoring Rules for Categorical Data

Reference