R: Nonparametric Maximum Likelihood Estimation for Random Effect Models

# Nonparametric Maximum Likelihood Estimation for Random Effect Models

## Documentation for package ‘npmlreg’ version 0.46-5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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