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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 |
| Reference manual: | SEset.pdf |
| 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 |
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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.
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