pars: Parameter retrieval for structured generalized linear mixed...

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

Description

Parameter retrieval for structured generalized linear mixed models

Usage

pars(object, ...)

## S3 method for class 'strucGlmer'
pars(object, ...)

## S3 method for class 'glmerMod'
pars(object, ...)

## S3 method for class 'strucParseFormula'
pars(object, ...)

covar(object, ...)

## S3 method for class 'strucGlmer'
covar(object, ...)

## S3 method for class 'strucParseFormula'
covar(object, ...)

loads(object, ...)

## Default S3 method:
loads(object, ...)

## S3 method for class 'strucGlmer'
loads(object, ...)

## S3 method for class 'strucParseFormula'
loads(object, ...)

## S3 method for class 'strucGlmer'
fixef(object, ...)

## S3 method for class 'strucParseFormula'
fixef(object, ...)

## S3 method for class 'strucGlmer'
ranef(object, type = c("u", "Lu", "ZLu"), ...)

getStrucGlmerPar(object, type, ...)

parPerTerm(nParPerTrm, pars)

covarPerTerm(object)

loadsPerTerm(object)

nRePerTrm(object)

reIndsPerTrm(object)

getParInds(object, ...)

## S3 method for class 'strucParseFormula'
getParInds(object, ...)

## S3 method for class 'strucGlmer'
getParInds(object, ...)

strucDims(object)

response(object, ...)

## S3 method for class 'strucGlmer'
response(object, ...)

## S3 method for class 'strucParseFormula'
response(object, ...)

fixefModMat(object, ...)

## S3 method for class 'strucParseFormula'
fixefModMat(object, ...)

## S3 method for class 'strucGlmer'
fixefModMat(object, ...)

ranefModMat(object, ...)

## S3 method for class 'strucParseFormula'
ranefModMat(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

## S3 method for class 'reTrmStruct'
ranefModMat(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

## S3 method for class 'strucGlmer'
ranefModMat(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

relCovFact(object, ...)

## S3 method for class 'strucParseFormula'
relCovFact(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

## S3 method for class 'reTrmStruct'
relCovFact(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

## S3 method for class 'strucGlmer'
relCovFact(object, transposed = TRUE,
  strucMatrix = FALSE, ...)

## S3 method for class 'strucGlmer'
nobs(object, ...)

## S3 method for class 'strucParseFormula'
nobs(object, ...)

## S3 method for class 'reTrmStruct'
sigma(object, ...)

## S3 method for class 'nlmeCorStruct'
sigma(object, ...)

## S3 method for class 'strucParseFormula'
sigma(object, ...)

## S3 method for class 'strucGlmer'
sigma(object, ...)

Arguments

object	a strucGlmer fitted model object
...	additional arguments to pass on
type	character string giving the type of parameter (e.g. "fixef", "covar")
nParPerTrm	vector of the number of parameters per term
pars	parameter vector (e.g. result of covar or loads
transposed	Return transposed model matrix?
strucMatrix	Return as strucMatrix or dgCMatrix object?

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