print.glmm.admb: Basic accessor methods for 'glmmadmb' objects

In bbolker/glmmadmb: Generalized Linear Mixed Models using 'AD Model Builder'

Description

Basic accessor methods for glmmadmb objects: print, retrieve coefficients, etc.

Usage

stdEr(object,...)
fixef(object,...)
## S3 method for class 'glmmadmb'
print(x,...)
## S3 method for class 'glmmadmb'
coef(object,...)
## S3 method for class 'glmmadmb'
fixef(object,...)
## S3 method for class 'glmmadmb'
residuals(object,type=c("pearson", "response"),...)
## S3 method for class 'glmmadmb'
fitted(object,...)
## S3 method for class 'glmmadmb'
vcov(object,...)
## S3 method for class 'glmmadmb'
stdEr(object,...)
## S3 method for class 'glmmadmb'
VarCorr(x,sigma=1,rdig=3,...)
## S3 method for class 'summary.glmmadmb'
VarCorr(x,sigma=1,rdig=3,...)

Arguments

x	a fitted glmmadmb model
object	a fitted glmmadmb model
type	type of residuals to retrieve
sigma	for compatibility with VarCorr: ignored
rdig	for compatibility with VarCorr: ignored
...	further arguments. If sd_S_print=TRUE for print.glmmadmb, print the covariance matrix of the random effects vector and corresponding standard deviations

Details

• coef extracts (fixed-effect) coefficients from a glmmadmb object, or the coefficient table (estimate, standard error, Z-score, p-value) from a summary.glmmadmb object; fixef is a synonym, for nlme/lme4 compatibility

• vcov extracts the approximate variance-covariance matrix of the fixed-effect parameters, based on the information matrix

• stdEr extracts the approximate standard errors of the fixed-effect parameters, as above

• VarCorr extracts the random effects variance-covariance matrices

See Also

glmmadmb, anova.glmmadmb, logLik.glmmadmb

bbolker/glmmadmb documentation built on May 11, 2019, 9:29 p.m.