extract.variance_covariance
return the adequate sub-matrix.
# S3 method for variance_covariance
extract(struct, what = c("YY", "YZ", "ZZ"),
masque_data = c(rep(TRUE, attr(struct, "ntaxa") * attr(struct,
"p_dim")), rep(FALSE, (dim(struct)[1] - attr(struct, "ntaxa")) *
attr(struct, "p_dim"))))
structural matrix of size (ntaxa+nNode)*p, result
of function compute_variance_covariance
sub-matrix to be extracted: "YY" : sub-matrix of tips (p*ntaxa first lines and columns) "YZ" : sub matrix tips x nodes (p*nNodes last rows and p*ntaxa first columns) "ZZ" : sub matrix of nodes (p*nNodes last rows and columns)
missing values of Y_data
sub-matrix of variance covariance.