Package: normalblockr 0.3.0.9000

normalblockr: Gaussian Graphical Models with Latent Clustering Structure

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. A complementary family clusters variables by their regression response to covariates rather than by their covariance, sharing one profile per cluster. See Tous & Chiquet (2026) <doi:10.1016/j.csda.2026.108347> for the model itself and its variational expectation-maximization estimation procedure.

Authors:Jeanne Tous [aut], Nestor Ngalala Manguitini [ctb], Julien Chiquet [aut, cre]

# Install 'normalblockr' in R:

install.packages('normalblockr', repos = c('https://jchiquet.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jchiquet/normalblockr/issues

Pkgdown/docs site:https://jchiquet.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

brca_rppa - Breast cancer proteomics data
onema - French stream fish community data
university - University webpages text data

On CRAN:

openblas cpp

5.43 score 1 stars 17 scripts 655 downloads 22 exports 61 dependencies

Last updated from:c123688d5d. Checks:4 ERROR, 11 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	176
linux-devel-x86_64	OK	213
source / vignettes	OK	284
linux-release-arm64	ERROR	161
linux-release-x86_64	OK	203
macos-release-arm64	OK	217
macos-release-x86_64	OK	312
macos-oldrel-arm64	OK	231
macos-oldrel-x86_64	OK	356
windows-devel-arm64	ERROR	380
windows-devel-x86_64	OK	231
windows-release-arm64	ERROR	400
windows-release-x86_64	OK	176
windows-oldrel-x86_64	OK	237
wasm-release	OK	123

Exports:generate_normal_block_mean_data generate_normal_block_var_data get_model isNB NB_control normal_block normal_block_sequential NormalBlockData NormalBlockMeanCollectionClusters NormalBlockMeanCollectionClustersSparsity NormalBlockMeanCollectionSparsity NormalBlockMeanKnownClusters NormalBlockMeanUnknownClusters NormalBlockVarCollectionClusters NormalBlockVarCollectionClustersSparsity NormalBlockVarCollectionSparsity NormalBlockVarKnownClusters NormalBlockVarUnknownClusters ZINormalBlockMeanKnownClusters ZINormalBlockMeanUnknownClusters ZINormalBlockVarKnownClusters ZINormalBlockVarUnknownClusters

Dependencies:alluvial aricode blockmodels cli codetools corrplot cpp11 data.table diagram digest dplyr farver future future.apply generics ggplot2 globals glue GREMLINS gtable igraph isoband KernSmooth labeling lattice lava lifecycle listenv magrittr MASS Matrix numDeriv parallelly pbmcapply pillar pkgconfig plyr prodlim progressr purrr R6 RColorBrewer Rcpp RcppArmadillo reshape2 rlang S7 sbm scales shape SQUAREM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

Mean-Block models: clustering variables by their response to covariates

Rendered frommean-block-breast-cancer.Rmdusingknitr::rmarkdown

Last update: 2026-09-11
Started: 2026-09-04

Analyzing multivariate Gaussian data with the Normal-Block model (variance clustering) - First steps

Rendered fromnormal-block.Rmdusingknitr::rmarkdown

Last update: 2026-09-09
Started: 2025-11-19

Normal-Block models: clustering variables by their covariance -- a worked example with breast cancer proteomics data

Rendered frombreast-cancer-proteomics.Rmdusingknitr::rmarkdown

Last update: 2026-09-09
Started: 2026-06-26

Zero-inflated Normal-Block models (variance clustering): a worked example with fish biomass data

Rendered fromzero-inflated-normal-block.Rmdusingknitr::rmarkdown

Last update: 2026-09-09
Started: 2026-06-26

Help page	Topics
Bayesian Information Criterion for a Normal-Block Model	BIC.NormalBlockBase
Bayesian Information Criterion for a Collection of Normal-Block Models	BIC.NormalBlockCollection
Breast cancer proteomics data (TCGA, RPPA)	brca_rppa
Extract Model Coefficients	coef.NormalBlockBase
Extract Fitted Values	fitted.NormalBlockBase
Generate Normal Block Mean Data	generate_normal_block_mean_data
Generate Normal Block Var Data	generate_normal_block_var_data
Create a Normal-Block Model Object	get_model
Check if an Object is a Normal-Block Model	isNB
Extract Log-Likelihood of a Normal-Block Model	logLik.NormalBlockBase
Extract Log-Likelihood of a Collection of Normal-Block Models	logLik.NormalBlockCollection
NB_control	NB_control
Normal-block model	normal_block
Cluster variables in the mean, then in the residual covariance	normal_block_sequential
Data Container for Normal-Block Models	NormalBlockData
Collection of Mean-Block Models over a Range of Cluster Counts	NormalBlockMeanCollectionClusters
Collection of Mean-Block Models over Cluster Counts and Sparsity Levels	NormalBlockMeanCollectionClustersSparsity
Collection of Mean-Block Models over a Sparsity Path	NormalBlockMeanCollectionSparsity
Mean-Block Model with Known Clustering	NormalBlockMeanKnownClusters
Mean-Block Model with Unknown Clustering	NormalBlockMeanUnknownClusters
Collection of Normal-Block Models over a Range of Cluster Counts	NormalBlockVarCollectionClusters
Collection of Normal-Block Models over Cluster Counts and Sparsity Levels	NormalBlockVarCollectionClustersSparsity
Collection of Normal-Block Models over a Sparsity Path	NormalBlockVarCollectionSparsity
Normal-Block Model with Known Clustering	NormalBlockVarKnownClusters
Normal-Block Model with Unknown Clustering	NormalBlockVarUnknownClusters
French stream fish community data (ONEMA / OFB electrofishing surveys)	onema
Plot a Normal-Block Model	plot.NormalBlockBase
Predict Method for Variance-Block Models	predict.NormalBlockBase
Print a Sequential Mean-then-Variance Fit	print.normal_block_sequential
Print a Normal-Block Model	print.NormalBlockBase
Print a Collection of Normal-Block Models	print.NormalBlockCollection
Print a Normal-Block Model Summary	print.summary.NormalBlockBase
Print a Collection Summary	print.summary.NormalBlockCollection
Extract the Covariance Matrix	sigma.NormalBlockBase
Summarize a Normal-Block Model	summary.NormalBlockBase
Summarize a Collection of Normal-Block Models	summary.NormalBlockCollection
University webpages text data (CMU "4 Universities" / WebKB)	university
Zero-Inflated Mean-Block Model with Known Clustering	ZINormalBlockMeanKnownClusters
Zero-Inflated Mean-Block Model with Unknown Clustering	ZINormalBlockMeanUnknownClusters
Zero-Inflated Normal-Block Model with Known Clustering	ZINormalBlockVarKnownClusters
Zero-Inflated Normal-Block Model with Unknown Clustering	ZINormalBlockVarUnknownClusters

Package: normalblockr 0.3.0.9000

normalblockr: Gaussian Graphical Models with Latent Clustering Structure

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