pdglasso: Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data

Implements methods for coloured Gaussian graphical models with equality "R"estrictions on "CON"centration values (RCON models; Højsgaard and Lauritzen (2008) <doi:10.1111/j.1467-9868.2008.00666.x>) for paired data (pdRCON models). Provides an Alternating Direction Method of Multipliers (ADMM) algorithm for solving the penalized likelihood problem introduced by Ranciati and Roverato (2024) <doi:10.1007/s11222-024-10513-6>. Provides functions for computing maximum likelihood estimates and generating simulated pdRCON models and datasets.

Version: 2.0.1
Imports: Rcpp (≥ 1.0.13), MASS
LinkingTo: Rcpp, RcppEigen
Published: 2026-09-08
DOI: 10.32614/CRAN.package.pdglasso (may not be active yet)
Author: Saverio Ranciati ORCID iD [aut], Alberto Roverato ORCID iD [aut], Anna Vesely ORCID iD [aut, cre], Peter Majcen ORCID iD [aut]
Maintainer: Anna Vesely <anna.vesely2 at unibo.it>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: pdglasso results

Documentation:

Reference manual: pdglasso.html , pdglasso.pdf

Downloads:

Package source: pdglasso_2.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: pdglasso_2.0.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): pdglasso_2.0.1.tgz, r-oldrel (x86_64): pdglasso_2.0.1.tgz

Linking:

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