GLMM {lme4} | R Documentation |
Fit a GLMM model with multivariate normal random effects, using Penalized Quasi-Likelihood.
GLMM(formula, family, data, random, control, niter, method, verbose, ...)
formula |
a two-sided linear model formula giving fixed-effects part of the model. |
family |
a GLM family, see glm .
|
random |
A formula or list of formulae describing the random effects. |
data |
an optional data frame used as the first place to find variables in the formulae. |
control |
an optional argument to be passed to lme .
|
niter |
maximum number of PQL iterations. Default is 20. |
method |
character: Estimation method to be used. Possible values are
"PQL" , the default, or "Laplace" .
"PQL" provides penalized quasi-likelihood estimates.
"Laplace" provides PQL
estimation followed by optimization of the second-order Laplacian
approximation to the marginal log-likelihood.
|
verbose |
logical: print out record of iterations? Default is FALSE .
|
... |
Optional further arguments such as subset and na.action .
|
A object of class "glmm"
: see reStruct-class
.
Schall, R. (1991) Estimation in generalized linear models with random effects. Biometrika 78, 719727.
Breslow, N. E. and Clayton, D. G. (1993) Approximate inference in generalized linear mixed models. Journal of the American Statistical Association 88, 925.
Wolfinger, R. and O'Connell, M. (1993) Generalized linear mixed models: a pseudo-likelihood approach. Journal of Statistical Computation and Simulation 48, 233243.
library(lme4) data(guImmun) fm1 = GLMM(immun ~ kid2p + mom25p + ord + ethn + momEd + husEd + momWork + rural + pcInd81, data = guImmun, family = binomial, random = ~1|comm/mom) summary(fm1) fm2 = GLMM(immun ~ kid2p + mom25p + ord + ethn + momEd + husEd + momWork + rural + pcInd81, data = guImmun, family = binomial, random = ~1|comm, method = 'Laplace') summary(fm2)