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normalblockr  

Gaussian Graphical Models with Latent Clustering Structure
View on CRAN: Click here


Download and install normalblockr package within the R console
Install from CRAN:
install.packages("normalblockr")

Install from Github:
library("remotes")
install_github("cran/normalblockr")

Install by package version:
library("remotes")
install_version("normalblockr", "0.2.1")



Attach the package and use:
library("normalblockr")
Maintained by
Julien Chiquet
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-03
Latest Update: 2026-09-03
Description:
Implements the Normal-Block model, a Gaussian graphical model with a latent clustering structure for the multivariate analysis of continuous data. The model clusters variables and, building on the graphical lasso, infers a network of statistical dependencies between clusters rather than between individual variables, for known or unknown clusterings, with an optional zero-inflation extension for data with an excess of exact zeros. See Tous & Chiquet (2026) <doi:10.1016/j.csda.2026.108347> for the model itself and its variational expectation-maximization estimation procedure.
How to cite:
Julien Chiquet (2026). normalblockr: Gaussian Graphical Models with Latent Clustering Structure. R package version 0.2.1, https://cran.r-project.org/web/packages/normalblockr. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-09-11 20:10), 0.2.1 (2026-09-03 14:00)
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Functions, R codes and Examples using the normalblockr R package
Full normalblockr package functions and examples
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