An S3
class for generalized linear mixed models with
structured (co)variance terms, which are lists with the following
elements:
Result of the optimizer (currently
bobyqa
in the minqa
package).
Results of strucParseFormula
.
A function for computing the model deviance. The
environment of dfun
contains objects for representing the
model.
Matched call
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | mkStrucGlmer(opt, parsedForm, dfun, mc)
## S3 method for class 'strucGlmer'
print(x, digits = max(3, getOption("digits") - 3), ...)
## S3 method for class 'strucGlmer'
summary(object, use.hessian = TRUE, ...)
## S3 method for class 'summary.strucGlmer'
print(x, digits = max(3, getOption("digits") -
3), correlation = NULL, signif.stars = getOption("show.signif.stars"),
show.resids = TRUE, ...)
## S3 method for class 'strucGlmer'
residuals(object, ...)
## S3 method for class 'strucGlmer'
fitted(object, ranefTrms, fixef = TRUE, ...)
## S3 method for class 'strucGlmer'
vcov(object, correlation = TRUE, use.hessian = TRUE,
justFixef = TRUE, ...)
## S3 method for class 'strucGlmer'
VarCorr(x, sigma = 1, rdig = 3)
## S3 method for class 'strucGlmer'
isREML(x, ...)
## S3 method for class 'strucGlmer'
df.residual(object, ...)
## S3 method for class 'strucGlmer'
deviance(object, ...)
## S3 method for class 'strucGlmer'
logLik(object, ...)
## S3 method for class 'strucGlmer'
formula(x, ...)
## S3 method for class 'strucGlmer'
weights(object, ...)
getOffset(object)
## S3 method for class 'strucGlmer'
model.matrix(object, ...)
## S3 method for class 'strucGlmer'
simulate(object, nsim = 1, seed = NULL, ...)
|
opt,parsedForm,dfun,mc |
See desciption of |
x,object |
|
digits |
number of significant digits |
... |
additional arguments to methods |
use.hessian |
use numerical hessian in covariance calculations if available |
correlation |
display correlation among fixed effects? |
signif.stars |
display significance stars? |
show.resids |
show residuals? |
ranefTrms |
character vector naming random effects terms to
be used (if |
fixef |
should fixed effects be used? |
justFixef |
should matrices be over fixed effects only? |
sigma,rdig |
for consistency |
nsim |
number of simulations |
seed |
random seed (see |
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