The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SEset: Computing Statistically-Equivalent Path Models

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>.

Version: 1.0.1
Imports: combinat, Matrix, Rdpack, stats
Suggests: qgraph
Published: 2022-03-17
DOI: 10.32614/CRAN.package.SEset
Author: Oisín Ryan
Maintainer: Oisín Ryan <o.ryan at uu.nl>
BugReports: https://github.com/ryanoisin/SEset
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: SEset results

Documentation:

Reference manual: SEset.pdf

Downloads:

Package source: SEset_1.0.1.tar.gz
Windows binaries: r-devel: SEset_1.0.1.zip, r-release: SEset_1.0.1.zip, r-oldrel: SEset_1.0.1.zip
macOS binaries: r-release (arm64): SEset_1.0.1.tgz, r-oldrel (arm64): SEset_1.0.1.tgz, r-release (x86_64): SEset_1.0.1.tgz, r-oldrel (x86_64): SEset_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SEset to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.