| npmlreg-package | Nonparametric maximum likelihood estimation for random effect models | 
| alldist | NPML estimation or Gaussian quadrature for overdispersed GLM's and variance component models | 
| allvc | NPML estimation or Gaussian quadrature for overdispersed GLM's and variance component models | 
| binomial.expand | Internal npmlreg functions | 
| dkern | Aitchison-Aitken kernel | 
| expand | Internal npmlreg functions | 
| expand.vc | Internal npmlreg functions | 
| fabric | The Fabric Data | 
| family.glmmGQ | Methods for objects of class glmmNPML or glmmGQ | 
| family.glmmNPML | Methods for objects of class glmmNPML or glmmGQ | 
| gqz | Gauss-Hermite integration points | 
| hosp | The Pennsylvanian Hospital Stay Data | 
| irlsuicide | Irish Suicide Data | 
| missouri | Missouri lung cancer data | 
| model.matrix.glmmGQ | Methods for objects of class glmmNPML or glmmGQ | 
| model.matrix.glmmNPML | Methods for objects of class glmmNPML or glmmGQ | 
| npmlreg | Nonparametric maximum likelihood estimation for random effect models | 
| plot.glmmGQ | Plot Diagnostics for objects of class glmmNPML or glmmGQ | 
| plot.glmmNPML | Plot Diagnostics for objects of class glmmNPML or glmmGQ | 
| post | Posterior probabilities/intercepts, and mass point classifications | 
| predict.glmmGQ | Prediction from objects of class glmmNPML or glmmGQ | 
| predict.glmmNPML | Prediction from objects of class glmmNPML or glmmGQ | 
| print.glmmGQ | Summarizing finite mixture regression fits | 
| print.glmmNPML | Summarizing finite mixture regression fits | 
| rainfall | Rainfall data | 
| summary.glmmGQ | Summarizing finite mixture regression fits | 
| summary.glmmNPML | Summarizing finite mixture regression fits | 
| tolfind | Grid search over tol for NPML estimation of (generalized) random effect models | 
| weightslogl.calc.w | Internal npmlreg functions |