strucGlmer-class: Structured GLMM class

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

Description

An S3 class for generalized linear mixed models with structured (co)variance terms, which are lists with the following elements:

opt

Result of the optimizer (currently bobyqa in the minqa package).

parsedForm

Results of strucParseFormula.

dfun

A function for computing the model deviance. The environment of dfun contains objects for representing the model.

mc

Matched call

Usage

mkStrucGlmer(opt, parsedForm, dfun, mc)

## S3 method for class 'strucGlmer'
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'strucGlmer'
summary(object, use.hessian = TRUE, ...)

## S3 method for class 'summary.strucGlmer'
print(x, digits = max(3, getOption("digits") -
  3), correlation = NULL, signif.stars = getOption("show.signif.stars"),
  show.resids = TRUE, ...)

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

## S3 method for class 'strucGlmer'
fitted(object, ranefTrms, fixef = TRUE, ...)

## S3 method for class 'strucGlmer'
vcov(object, correlation = TRUE, use.hessian = TRUE,
  justFixef = TRUE, ...)

## S3 method for class 'strucGlmer'
VarCorr(x, sigma = 1, rdig = 3)

## S3 method for class 'strucGlmer'
isREML(x, ...)

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

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

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

## S3 method for class 'strucGlmer'
formula(x, ...)

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

getOffset(object)

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

## S3 method for class 'strucGlmer'
simulate(object, nsim = 1, seed = NULL, ...)

Arguments

opt,parsedForm,dfun,mc	See desciption of strucGlmer objects above
x,object	strucGlmer objects
digits	number of significant digits
...	additional arguments to methods
use.hessian	use numerical hessian in covariance calculations if available
correlation	display correlation among fixed effects?
signif.stars	display significance stars?
show.resids	show residuals?
ranefTrms	character vector naming random effects terms to be used (if NULL no terms are used)
fixef	should fixed effects be used?
justFixef	should matrices be over fixed effects only?
sigma,rdig	for consistency
nsim	number of simulations
seed	random seed (see set.seed)

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