| fabMix-package | Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components | 
| complete.log.likelihood | Complete log-likelihood function for xCx models. | 
| complete.log.likelihood_q0 | Complete log-likelihood function for xUx models and q=0 | 
| complete.log.likelihood_q0_sameSigma | Complete log-likelihood function for xCx models and q=0 | 
| complete.log.likelihood_Sj | Complete log-likelihood function for xUx models. | 
| compute_A_B_G_D_and_simulate_mu_Lambda | Computation and simulations | 
| compute_A_B_G_D_and_simulate_mu_Lambda_CCU | Computation and simulations for CCU | 
| compute_A_B_G_D_and_simulate_mu_Lambda_CUU | Computation and simulations for CUU | 
| compute_A_B_G_D_and_simulate_mu_Lambda_q0 | Computation and simulations for q = 0. | 
| compute_A_B_G_D_and_simulate_mu_Lambda_q0_sameSigma | Computation and simulations for q = 0. | 
| compute_A_B_G_D_and_simulate_mu_Lambda_Sj | Computation and simulations | 
| compute_sufficient_statistics | Compute sufficient statistics | 
| compute_sufficient_statistics_given_mu | Compute sufficient statistics given mu | 
| compute_sufficient_statistics_q0 | Compute sufficient statistics for q = 0 | 
| CorMat_mcmc_summary | Compute quantiles for the correlation matrix. | 
| CovMat_mcmc_summary | Compute quantiles for the covariance matrix. | 
| dealWithLabelSwitching | Apply label switching algorithms | 
| fabMix | Main function | 
| fabMix_CxC | Function to estimate the 'CUC' and 'CCC' models | 
| fabMix_CxU | Function to estimate the 'CCU' and 'CUU' models | 
| fabMix_missing_values | Function to estimate the UUU or UCU models in case of missing values | 
| fabMix_parallelModels | Function for model-level parallelization | 
| fabMix_UxC | Function to estimate the 'UUC' and 'UCC' models | 
| fabMix_UxU | Function to estimate the 'UUU' and 'UCU' model | 
| getStuffForDIC | Compute information criteria | 
| log_dirichlet_pdf | Log-density function of the Dirichlet distribution | 
| myDirichlet | Simulate from the Dirichlet distribution | 
| observed.log.likelihood0 | Log-likelihood of the mixture model | 
| observed.log.likelihood0_q0_sameSigma | Log-likelihood of the mixture model for q=0 and same variance of errors | 
| observed.log.likelihood0_Sj | Log-likelihood of the mixture model | 
| observed.log.likelihood0_Sj_q0 | Log-likelihood of the mixture model for q=0 | 
| overfittingMFA | Basic MCMC sampler for the 'UCU' model | 
| overfittingMFA_CCC | Basic MCMC sampler for the 'CCC' model | 
| overfittingMFA_CCU | Basic MCMC sampler for the 'CCU' model | 
| overfittingMFA_CUC | Basic MCMC sampler for the 'CUC' model | 
| overfittingMFA_CUU | Basic MCMC sampler for the 'CUU' model | 
| overfittingMFA_missing_values | Basic MCMC sampler for the case of missing data | 
| overfittingMFA_Sj | Basic MCMC sampler for the 'UUU' model | 
| overfittingMFA_Sj_missing_values | Basic MCMC sampler for the case of missing data and different error variance | 
| overfittingMFA_UCC | Basic MCMC sampler for the 'UCC' model | 
| overfittingMFA_UUC | Basic MCMC sampler for the 'UUC' model | 
| overfitting_q0 | MCMC sampler for q=0 | 
| overfitting_q0_sameSigma | MCMC sampler for q=0 and same error variance parameterization | 
| plot.fabMix.object | Plot function | 
| print.fabMix.object | Print function | 
| readLambdaValues | Read Lambda values. | 
| simData | Synthetic data generator | 
| simData2 | Synthetic data generator 2 | 
| summary.fabMix.object | Summary method | 
| update_all_y | Gibbs sampling for y in 'xCx' model | 
| update_all_y_Sj | Gibbs sampling for y in 'xUx' model | 
| update_OmegaINV | Gibbs sampling for Omega^{-1} | 
| update_OmegaINV_Cxx | Gibbs sampling for Omega^{-1} for Cxx model | 
| update_SigmaINV_faster | Gibbs sampling for Sigma^{-1} | 
| update_SigmaINV_faster_q0 | Gibbs sampling for Sigma^{-1} per component for q=0 | 
| update_SigmaINV_faster_q0_sameSigma | Gibbs sampling for Sigma^{-1} per component for q=0 | 
| update_SigmaINV_faster_Sj | Gibbs sampling for Sigma^{-1} per component | 
| update_SigmaINV_xCC | Gibbs sampling for Sigma^{-1} for xCC models | 
| update_SigmaINV_xUC | Gibbs sampling for Sigma^{-1} per component for xUC models | 
| update_z2 | Collapsed Gibbs for z using matrix inversion lemma | 
| update_z2_Sj | Collapsed Gibbs for z using matrix inversion lemma | 
| update_z4 | Collapsed Gibbs for z | 
| update_z4_Sj | Collapsed Gibbs for z | 
| update_z_b | Gibbs sampling for z | 
| update_z_b_Sj | Gibbs sampling for z | 
| update_z_q0 | Gibbs sampling for z for q=0 | 
| update_z_q0_sameSigma | Gibbs sampling for z for q=0 | 
| waveDataset1500 | Wave dataset |