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BCFM

Bayesian Clustering Factor Models

v1.0.0 · Feb 10, 2026 · GPL (>= 3)

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>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.8Mb
  sub-directories of 1Mb or more:
    libs   6.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    libs   6.2Mb
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.8Mb
  sub-directories of 1Mb or more:
    libs   6.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    libs   6.2Mb

Dependency Network

Dependencies Reverse dependencies Rcpp RcppArmadillo dplyr fastmatrix ggplot2 gridExtra LaplacesDemon mvtnorm psych RColorBrewer tidyr ggpubr tibble BCFM

Version History

new 1.0.0 Mar 9, 2026