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README.md

gmat

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

CRAN status Lifecycle: maturing CRAN downloads

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("irenecrsn/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.

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R package for graphically constrained correlation matrices

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