Description Usage Arguments Value Mixed model formula usage Note See Also
Set model matrix slice and relative covariance factor block for a random effects term
1 2 3 4 5 6 7 8 9 10 11 12 | setReTrm(object, addArgsList, auxEnv = NULL, devfunEnv = NULL)
## Default S3 method:
setReTrm(object, addArgsList, auxEnv = NULL,
devfunEnv = NULL)
findReTrmClasses(formula = NULL)
getAddArgs(addArgsExpr, addArgsList)
## S3 method for class 'reTrmStruct'
ranef(object, type = c("u", "Lu", "ZLu"), ...)
|
object |
a |
addArgsList |
a list of named quantities within which
|
auxEnv |
an optional auxilliary environment containing
objects that are possibly required for the setting of a random
effects term structure (currently this is almost always the
environment of a call to |
devfunEnv |
optional environment of the deviance function |
formula |
generalized mixed model formula. if |
addArgsExpr |
a list of expressions for evaluating within
|
type |
see |
... |
not used (for consistency with generic) |
object with the following additional elements:
Zt |
A |
Lambdat |
A |
lowerLoads,upperLoads,lowerCovar,upperCovar |
Lower/upper
bounds on loading parameters (possible parameters for |
The default method is identical to a standard lme4 random effects term.
(linForm | grpFac)
linear model formula
grouping factor
Almost never called directly, but instead called within
strucParseFormula.
mkReTrmStructs for construction of these objects
getReTrm
Other setReTrm: biplot.factAnal,
factAnal, scores.factAnal,
setReTrm.factAnal; cooccur,
setReTrm.cooccur; expDecay,
setReTrm.expDecay; flexvar,
setReTrm.flexvar;
getCorStruct, nlmeCorStruct,
setReTrm.nlmeCorStruct;
identity, setReTrm.identity;
lme4, setReTrm.lme4;
obslev, setReTrm.obslev;
phyloEdge,
setReTrm.phyloEdge; sem,
setReTrm.sem;
setReTrm.varExp, varExp;
setReTrm.varIdent, varIdent
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