setReTrm.expDecay: Random effects term with exponential decay in distance-based...

Description Usage Arguments Mixed model formula usage Parameters See Also

Description

Random effects term with exponential decay in distance-based covariance

Usage

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## S3 method for class 'expDecay'
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

expDecay(1 | grpFac, distCutoff, minCov, distMat)

grpFac:

grouping factor (e.g. with levels given by geographical sites)

distCutoff:

maximum distance with covariance greater than minCov

minCov:

minimum covariance

distMat:

distance matrix object over the levels of grpFac

Parameters

Covariance:

length-two vector with the exponential decay parameter and the standard deviation at zero distance

Loadings:

none

See Also

Other setReTrm: biplot.factAnal, factAnal, scores.factAnal, setReTrm.factAnal; cooccur, setReTrm.cooccur; 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.