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

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

Description

Random effects term with exponential decay in distance-based covariance

Usage

## 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.