mkVarCorr: Make Variance and Correlation Matrices from 'theta'
In lme4: Linear Mixed-Effects Models using 'Eigen' and S4
mkVarCorr R Documentation
Make Variance and Correlation Matrices from theta
Description
Make variance and correlation matrices from theta
Usage
mkVarCorr(sc, cnms, nc, theta, nms)
Arguments
sc
scale factor (residual standard deviation).
cnms
component names.
nc
numeric vector: number of terms in each RE component.
theta
theta vector (lower-triangle of Cholesky factors).
nms
component names (FIXME: nms/cnms redundant:
nms=names(cnms)?)
Value
A matrix
See Also
VarCorr
lme4 documentation built on July 3, 2024, 5:11 p.m.
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| mkVarCorr | R Documentation |
Make Variance and Correlation Matrices from theta
Description
Make variance and correlation matrices from theta
Usage
mkVarCorr(sc, cnms, nc, theta, nms)
Arguments
sc |
scale factor (residual standard deviation). |
cnms |
component names. |
nc |
numeric vector: number of terms in each RE component. |
theta |
theta vector (lower-triangle of Cholesky factors). |
nms |
component names (FIXME: nms/cnms redundant: nms=names(cnms)?) |
Value
A matrix
See Also
VarCorr
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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