contrast_matrix         Create contrast matrix
cov_canonical           Compute a list of canonical covariance matrices
cov_ed                  Perform "extreme deconvolution" (Bovy et al) on
                        a subset of the data
cov_flash               Perform Empirical Bayes Matrix Factorization
                        using flashier, and return a list of candidate
                        covariance matrices
cov_pca                 Perform PCA on data and return list of
                        candidate covariance matrices
cov_udi                 Compute a list of covariance matrices
                        corresponding to the "Unassociated", "Directly
                        associated" and "Indirectly associated" models
estimate_null_correlation_simple
                        Estimate null correlations (simple)
extreme_deconvolution   Density estimation using Gaussian mixtures in
                        the presence of noisy, heterogeneous and
                        incomplete data
get_estimated_pi        Return the estimated mixture proportions
get_log10bf             Return the Bayes Factor for each effect
get_n_significant_conditions
                        Count number of conditions each effect is
                        significant in
get_pairwise_sharing    Compute the proportion of (significant) signals
                        shared by magnitude in each pair of conditions,
                        based on the poterior mean
get_pairwise_sharing_from_samples
                        Compute the proportion of (significant) signals
                        shared by magnitude in each pair of conditions
get_samples             Return samples from a mash object
get_significant_results
                        Find effects that are significant in at least
                        one condition
mash                    Apply mash method to data
mash_1by1               Perform condition-by-condition analyses
mash_compute_loglik     Compute loglikelihood for fitted mash object on
                        new data.
mash_compute_posterior_matrices
                        Compute posterior matrices for fitted mash
                        object on new data
mash_compute_vloglik    Compute vector of loglikelihood for fitted mash
                        object on new data
mash_estimate_corr_em   Fit mash model and estimate residual
                        correlations using EM algorithm
mash_plot_meta          Plot metaplot for an effect based on posterior
                        from mash
mash_set_data           Create a data object for mash analysis.
mash_update_data        Update the data object for mash analysis.
sim_contrast1           Create simplest simulation, cj = mu 1 data used
                        for contrast analysis
sim_contrast2           Create simulation with signal data used for
                        contrast analysis.
simple_sims             Create some simple simulated data for testing
                        purposes
simple_sims2            Create some more simple simulated data for
                        testing purposes
