setReTrm.cooccur: Random effects term for cooccurence model (experimental)

In stevencarlislewalker/lme4ord: Generalized Linear Mixed Models with Flexible (Co)Variance Structures

Description

Random effects term for cooccurence model (experimental)

Usage

## S3 method for class 'cooccur'
setReTrm(object, addArgsList, auxEnv = NULL,
  devfunEnv = NULL)

Arguments

object	a reTrmStruct object
addArgsList	a list of named quantities within which addArgsExpr is evaluated
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 strucParseFormula, unless setReTrm is called directly)
devfunEnv	optional environment of the deviance function

Mixed model formula usage

cooccur(linForm | grpFac)

linForm:

linear model formula decribing effects

grpFac:

grouping factor

Parameters

Covariance:

FIXME

Loadings:

FIXME

See Also

Other setReTrm: biplot.factAnal, factAnal, scores.factAnal, setReTrm.factAnal; expDecay, setReTrm.expDecay; findReTrmClasses, getAddArgs, ranef.reTrmStruct, setReTrm, setReTrm.default; 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

stevencarlislewalker/lme4ord documentation built on May 30, 2019, 4:43 p.m.