SEset_to_network: Precision matrices from the SEset

In SEset: Computing Statistically-Equivalent Path Models

Precision matrices from the SEset

Description

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.

Usage

SEset_to_network(
  SEmatrix,
  order.ref = NULL,
  order.mat = NULL,
  output = "raw",
  omega = NULL
)

Arguments

SEmatrix	a n \times p matrix containing the SE-set. The output of network_to_SEset
order.ref	an optional character vector with variable names, the reference ordering of the precision matrix.
order.mat	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	Output as "raw" or "summary". See value below
omega	Comparision precision matrix, e.g. original input precision matrix to network_to_SEset. Only necessary if output = "summary"

Value

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.

References

\insertRef

ryan2019SEset

\insertRef

shojaie2010penalizedSEset

\insertRef

bollen89semSEset

See Also

network_to_path, path_to_network

SEset documentation built on March 18, 2022, 5:51 p.m.