VarCorr.lqmm {lqmm} | R Documentation |
Extract Variance-Covariance Matrix
Description
This function extracts the variance-covariance matrix of the random effects from a fitted lqmm
object.
Usage
## S3 method for class 'lqmm'
VarCorr(x, sigma = NULL, ...)
Arguments
x |
an object of |
sigma |
not used. |
... |
not used. |
Details
This function returns the variance or the variance-covariance matrix of the random effects. It calls covHandling
to manage the output of lqmm.fit.gs
or lqmm.fit.df
. A post-fitting approximation to the nearest positive (semi)definite matrix (Higham, 2002) is applied if necessary. The generic function VarCorr
is imported from the nlme
package (Pinheiro et al, 2014).
Author(s)
Marco Geraci
References
Higham N (2002). Computing the Nearest Correlation Matrix - A Problem from Finance. IMA Journal of Numerical Analysis, 22, 329-343.
Pinheiro J, Bates D, DebRoy S, Sarkar D and R Core Team (2014). nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-117, https://CRAN.R-project.org/package=nlme.