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cff-version: 1.2.0
message: 'To cite package "BCFM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BCFM: Bayesian Clustering Factor Models'
version: 1.0.0
doi: 10.32614/CRAN.package.BCFM
abstract: 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)
  <https://doi.org/10.1002/sim.70350>.
authors:
- family-names: Tegge
  given-names: Allison
  email: ategge@vt.edu
- family-names: Ferreira
  given-names: Marco
  email: marf@vt.edu
- family-names: Shin
  given-names: Hwasoo
  email: hshin2@hfhs.org
- family-names: Touami
  given-names: Meriem
  email: meriemt@vt.edu
repository: https://ategge.r-universe.dev
repository-code: https://github.com/ategge/BCFM
commit: e53869492cce50f7c4b4fbc829b2d494f89abc2c
url: https://github.com/ategge/BCFM
date-released: '2026-02-07'
contact:
- family-names: Touami
  given-names: Meriem
  email: meriemt@vt.edu