Takes the SE-set and calculates for each weights matrix the corresponding
precision matrix. Used to check the results of network_to_SEset
to assess deviations from statistical equivalence induced due to rounding,
thresholding, and numerical approximations.
SEset_to_network(
SEmatrix,
order.ref = NULL,
order.mat = NULL,
output = "raw",
omega = NULL
)a \(n \times p\) matrix containing the SE-set. The output of
network_to_SEset
an optional character vector with variable names, the reference ordering of the precision matrix.
a \(n \times p\) matrix of character strings,
defining the ordering of the matrix corresponding to each row of SEmatrix.
If NULL it is assumed that all orderings are included and they are generated using
order_gen
Output as "raw" or "summary". See value below
Comparision precision matrix, e.g. original input precision matrix to
network_to_SEset. Only necessary if output = "summary"
If output = "raw", a \(n \times p\) matrix of precision matrices
stacked column-wise in \(n\) rows.
If output = "summary" returns a list containing the bias, MSE and
RMSE for each re-calculated precision matrix, relative to comparison omega
matrix supplied.
ryan2019SEset
shojaie2010penalizedSEset
bollen89semSEset