CorMat_mcmc_summary     Compute quantiles for the correlation matrix.
CovMat_mcmc_summary     Compute quantiles for the covariance matrix.
complete.log.likelihood
                        Complete log-likelihood function for xCx
                        models.
complete.log.likelihood_Sj
                        Complete log-likelihood function for xUx
                        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
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_Sj
                        Computation and simulations
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_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
dealWithLabelSwitching
                        Apply label switching algorithms
fabMix                  Main function
fabMix-package          Overfitting Bayesian Mixtures of Factor
                        Analyzers with Parsimonious Covariance and
                        Unknown Number of Components
fabMix_CxC              Function to estimate the 'CUC' and 'CCC' models
fabMix_CxU              Function to estimate the 'CCU' and 'CUU' models
fabMix_UxC              Function to estimate the 'UUC' and 'UCC' models
fabMix_UxU              Function to estimate the 'UUU' and 'UCU' model
fabMix_missing_values   Function to estimate the UUU or UCU models in
                        case of missing values
fabMix_parallelModels   Function for model-level parallelization
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_Sj
                        Log-likelihood of the mixture model
observed.log.likelihood0_Sj_q0
                        Log-likelihood of the mixture model for q=0
observed.log.likelihood0_q0_sameSigma
                        Log-likelihood of the mixture model for q=0 and
                        same variance of errors
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_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
overfittingMFA_missing_values
                        Basic MCMC sampler for the case of missing data
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_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_Sj
                        Gibbs sampling for Sigma^{-1} per component
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_xCC     Gibbs sampling for Sigma^{-1} for xCC models
update_SigmaINV_xUC     Gibbs sampling for Sigma^{-1} per component for
                        xUC models
update_all_y            Gibbs sampling for y in 'xCx' model
update_all_y_Sj         Gibbs sampling for y in 'xUx' model
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
