README.md

In irenecrsn/gmat: Simulation of Graphical Correlation Matrices

gmat

An R package for simulating correlation matrices possibly constrained by acyclic directed and undirected graphs.

Installation

The package is available on CRAN, to get the latest stable version use:

install.packages("gmat")

Alternatively, using the R package devtools one may install the development version:

# install.packages("devtools")
devtools::install_github("gherardovarando/gmat")

The other R packages required for gmat are igraph and gRbase, which can be installed from CRAN and Bioconductor.

Overview

The package mostly implements methods described in the following papers:

• Córdoba I., Varando G., Bielza C., Larrañaga P. A fast Metropolis-Hastings method for generating random correlation matrices. Lecture Notes in Computer Science (IDEAL 2018), vol 11314, pp. 117-124, 2018.
• Córdoba I., Varando G., Bielza C., Larrañaga P. A partial orthogonalization method for simulating covariance and concentration graph matrices. Proceedings of Machine Learning Research (PGM 2018), vol 72, pp. 61-72, 2018.
• Córdoba I., Varando G., Bielza C., Larrañaga P. On generating random Gaussian graphical models. International Journal of Approximate Reasoning, vol 125, pp. 240-250, 2020.

See examples of use and more at package's manual.

irenecrsn/gmat documentation built on May 9, 2022, 1:11 a.m.