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BCFM  

Bayesian Clustering Factor Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BCFM", "1.0.0")



Attach the package and use:
library("BCFM")
Maintained by
Meriem Touami
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-10
Latest Update: 2026-02-10
Description:
Implements the Bayesian Clustering Factor Models (BCFM) for simultaneous clustering and latent factor analysis of multivariate longitudinal data. The model accounts for within-cluster dependence through shared latent factors while allowing heterogeneity across clusters, enabling flexible covariance modeling in high-dimensional settings. Inference is performed using Markov chain Monte Carlo (MCMC) methods with computationally intensive steps implemented via 'Rcpp'. Model selection and visualization tools are provided. The methodology is described in Shin, Ferreira, and Tegge (2018) <doi:10.1002/sim.70350>.
How to cite:
Meriem Touami (2026). BCFM: Bayesian Clustering Factor Models. R package version 1.0.0, https://cran.r-project.org/web/packages/BCFM. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for BCFM
Functions, R codes and Examples using the BCFM R package
Full BCFM package functions and examples
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