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 |