factor_loading_heatmap
                        Displaying significant factor loadings in the
                        heatmap.
factor_score_trajectory
                        Plotting figures for factor score trajectory.
gibbs_after_mcem_algorithm
                        Generating posterior samples for parameters
                        (other than DGP parameters) in the model and
                        predicted gene expression for one chain.
gibbs_after_mcem_combine_chains
                        Combining from all chains the posterior samples
                        for parameters in the model and predicted gene
                        expressions.
gibbs_after_mcem_diff_initials
                        Generating different initials for multiple
                        chains.
gibbs_after_mcem_load_chains
                        Loading the saved posterior samples for
                        parameters in the model and predicted gene
                        expressions.
mcem_algorithm          Monte Carlo Expectation Maximization (MCEM)
                        algorithm to return the Maximum Likelihood
                        Estimate (MLE) of DGP Parameters.
mcem_cov_plot           Visualizing cross-correlations among factors.
mcem_parameter_setup    Parameters' setup and initial value assignment
                        for the Monte Carlo Expectation Maximization
                        (MCEM) algorithm.
numerics_summary_do_not_need_alignment
                        Numerical summary for important continuous
                        variables that do not need alignment.
numerics_summary_need_alignment
                        Numerical summary for factor loadings and
                        factor scores, which need alignment.
sim_fcs_init            Initials values.
sim_fcs_results_irregular_6_8
                        Results when people have irregularly observed
                        time points (some 6 while others 8).
sim_fcs_results_regular_8
                        Results when people are observed at common 8
                        time points.
sim_fcs_truth           Truth of simulated data.
subject_specific_objects
                        Constructing subject-specific objects required
                        for Gibbs sampler (for subjects with incomplete
                        observations only).
table_generator         Generating a table listing all possible
                        combinations of the binary variables for one
                        gene.
