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SEset
View on CRAN: Click
here
Download and install SEset package within the R console
Install from CRAN:
install.packages("SEset")
Install from Github:
library("remotes")
install_github("cran/SEset") Install by package version:
library("remotes")
install_version("SEset", "1.0.1") Attach the package and use:
library("SEset")
Maintained by
Oisín Ryan
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-17
Latest Update: 2022-03-17
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) .
How to cite:
Oisín Ryan (2022). SEset: Computing Statistically-Equivalent Path Models. R package version 1.0.1, https://cran.r-project.org/web/packages/SEset. Accessed 29 Oct. 2026.
Previous versions and publish date:
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Other R packages that SEset depends,
imports, suggests or enhances
Complete documentation for SEset
Functions, R codes and Examples using
the SEset R package
Some associated functions: SEset_to_network . cov_to_path . find_parents . get_psi . network_to_SEset . network_to_path . order_gen . path_to_network . propcal . r2_distribution . reorder_mat . riskcor .
Some associated R codes: SEset_to_network.R . cov_to_path.R . find_parents.R . get_psi.R . network_to_SEset.R . network_to_path.R . order_gen.R . path_to_network.R . propcal.R . r2_distribution.R . reorder_mat.R . riskcor.R . Full SEset package functions and examples
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