| 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 |