beta_fun                Censor meta-analytic dataset based on the
                        univariate beta-density model
define_priors           Define prior penalty functions for selection
                        model parameters
interleaved_learning    Interleaved Learning Meta-Analysis
n_ES_empirical          Simulate empirical distribution of sample size
                        and number of effect sizes
n_ES_param              Simulate empirical distribution of sample size
                        and number of effect sizes
p_area                  Calculate area under the selection weight
                        function from a 'selmodel' object
practice_facilitation   Practice Facilitation Meta-Analysis
print.selmodel          Print results from a 'selmodel' object
r_meta                  Generate meta-analytic data
selection_model         Estimate step or beta selection model
selection_plot          Plot the selection weights implied by an
                        estimated selection model.
selection_wts           Calculate model-implied weights for specified
                        p-values.
self_control            Self-Control Training Meta-Analysis
step_count_fun          Censor meta-analytic dataset based on a
                        multivariate step-function model
step_fun                Censor meta-analytic dataset based on a
                        univariate step-function model
summary.selmodel        Summarize results from a 'selmodel' object
wwc_es                  What Works Clearinghouse sample size and effect
                        size distribution data
