check_full_blockdiag {JointAI} | R Documentation |
Replace a full with a block-diagonal variance covariance matrix
Check if a full random effects variance covariance matrix is specified
for a single variable. In that case, it is identical to a block-diagonal
matrix. Change the rd_vcov
specification to blockdiag
for clarity
(because then the variable name is used in the name of b
, D
, invD
, ...)
Description
Replace a full with a block-diagonal variance covariance matrix
Check if a full random effects variance covariance matrix is specified
for a single variable. In that case, it is identical to a block-diagonal
matrix. Change the rd_vcov
specification to blockdiag
for clarity
(because then the variable name is used in the name of b
, D
, invD
, ...)
Usage
check_full_blockdiag(rd_vcov)
Arguments
rd_vcov |
a valid random effects variance-covariance structure
specification (i.e., checked using |
Value
a valid random effects variance-covariance structure specification
[Package JointAI version 1.0.6 Index]