Package: SEset
Type: Package
Title: Computing Statistically-Equivalent Path Models
Version: 1.0.1
Author: Oisín Ryan
Maintainer: Oisín Ryan <o.ryan@uu.nl>
Description: Tools to compute and analyze the set of
        statistically-equivalent (Gaussian, linear) path models which
        generate the input precision or (partial) correlation matrix.
        This procedure is useful for understanding how statistical
        network models such as the Gaussian Graphical Model (GGM)
        perform as causal discovery tools. The statistical-equivalence
        set of a given GGM expresses the uncertainty we have about the
        sign, size and direction of directed relationships based on the
        weights matrix of the GGM alone. The derivation of the
        equivalence set and its use for understanding GGMs as causal
        discovery tools is described by Ryan, O., Bringmann, L.F., &
        Schuurman, N.K. (2022) <doi: 10.31234/osf.io/ryg69>.
BugReports: https://github.com/ryanoisin/SEset
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: combinat, Matrix, Rdpack, stats
RdMacros: Rdpack
RoxygenNote: 7.1.1
Suggests: qgraph
Repository: https://ryanoisin.r-universe.dev
Date/Publication: 2023-01-19 15:33:25 UTC
RemoteUrl: https://github.com/ryanoisin/seset
RemoteRef: HEAD
RemoteSha: 3d93eb9c3218ab25cc47bf90b94dd53135feff45
NeedsCompilation: no
Packaged: 2026-07-12 08:48:12 UTC; root