identifyComponentModel {BGmisc} | R Documentation |
identifyComponentModel Determine if a variance components model is identified
Description
identifyComponentModel Determine if a variance components model is identified
Usage
identifyComponentModel(..., verbose = TRUE)
Arguments
... |
Comma-separated relatedness component matrices representing the variance components of the model. |
verbose |
logical. If FALSE, suppresses messages about identification; TRUE by default. |
Details
This function checks the identification status of a given variance components model by examining the rank of the concatenated matrices of the components. If any components are not identified, their names are returned in the output.
Value
A list of length 2 containing:
-
identified
: TRUE if the model is identified, FALSE otherwise. -
nidp
: A vector of non-identified parameters, specifying the names of components that are not simultaneously identified.
Examples
identifyComponentModel(A = list(matrix(1, 2, 2)), C = list(matrix(1, 2, 2)), E = diag(1, 2))
[Package BGmisc version 1.3.2 Index]