extract_design: Extracting covariance matrices from lme
In HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models
extract_design R Documentation
Extracting covariance matrices from lme
Description
This function extracts the full covariance matrices from a mixed/hierarchical
linear model fit using lme.
Usage
extract_design(b)
Arguments
b
a fitted model object of class lme.
Value
A list of matrices is returned.
D contains the covariance matrix of the random effects.
V contains the covariance matrix of the response.
X contains the fixed-effect model matrix.
Z contains the random-effect model matrix.
Author(s)
Adam Loy loyad01@gmail.com
References
This method has been adapted from the method
mgcv::extract.lme.cov in the mgcv package, written by Simon
N. Wood simon.wood@r-project.org.
HLMdiag documentation built on June 8, 2025, 10:58 a.m.
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| extract_design | R Documentation |
Extracting covariance matrices from lme
Description
This function extracts the full covariance matrices from a mixed/hierarchical
linear model fit using lme.
Usage
extract_design(b)
Arguments
b |
a fitted model object of class |
Value
A list of matrices is returned.
Dcontains the covariance matrix of the random effects.Vcontains the covariance matrix of the response.Xcontains the fixed-effect model matrix.Zcontains the random-effect model matrix.
Author(s)
Adam Loy loyad01@gmail.com
References
This method has been adapted from the method
mgcv::extract.lme.cov in the mgcv package, written by Simon
N. Wood simon.wood@r-project.org.
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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