varcomp.mer: Extracting variance components
In HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/utility_functions.R
Description
This function extracts the variance components from a mixed/hierarchical
linear model fit using lmer.
Usage
1
varcomp.mer(object)
Arguments
object
a fitted model object of class mer or lmerMod.
Value
A named vector is returned. sigma2 denotes the residual
variance. The other variance components are names D** where the
trailing digits specify the of that variance component in the covariance
matrix of the random effects.
Author(s)
Adam Loy loyad01@gmail.com
Examples
1
2
3
data(sleepstudy, package = "lme4")
fm1 <- lme4::lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
varcomp.mer(fm1)
HLMdiag documentation built on May 2, 2021, 9:06 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/utility_functions.R
Description
This function extracts the variance components from a mixed/hierarchical
linear model fit using lmer.
Usage
1 | varcomp.mer(object)
|
Arguments
object |
a fitted model object of class |
Value
A named vector is returned. sigma2 denotes the residual
variance. The other variance components are names D** where the
trailing digits specify the of that variance component in the covariance
matrix of the random effects.
Author(s)
Adam Loy loyad01@gmail.com
Examples
1 2 3 | data(sleepstudy, package = "lme4")
fm1 <- lme4::lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
varcomp.mer(fm1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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