add_correlations        Add correlations from the 'correlation' package
                        in 'easystats'
add_filters             Add filtering/exclusion criteria to a
                        multiverse pipeline
add_model               Add a model and formula to a multiverse
                        pipeline
add_parameter_keys      Add parameter keys names for later use in
                        summarizing model effects
add_postprocess         Add arbitrary postprocessing code to a
                        multiverse pipeline
add_preprocess          Add arbitrary preprocessing code to a
                        multiverse analysis pipeline
add_reliabilities       Add item reliabilities to a multiverse pipeline
add_subgroups           Add sub groups to the multiverse pipeline
add_summary_stats       Add a set of descriptive statistics to compute
                        over a set of variables
add_variables           Add a set of variable alternatives to a
                        multiverse pipeline
condense                Summarize multiverse parameters
create_blueprint_graph
                        Create a Analysis Pipeline diagram
detect_multiverse_n     Detect total number of analysis pipelines
detect_n_filters        Detect total number of filtering expressions
                        your pipelines
detect_n_models         Detect total number of models in your pipelines
detect_n_subgroups      Detect total number of subgroups in your
                        pipelines
detect_n_variables      Detect total number of variable sets in your
                        pipelines
expand_decisions        Expand a set of multiverse decisions into all
                        possible combinations
reveal                  Reveal the contents of a multiverse analysis
reveal_corrs            Reveal a set of multiverse correlations
reveal_model_messages   Reveal any messages about your models during a
                        multiverse analysis
reveal_model_parameters
                        Reveal the model parameters of a multiverse
                        analysis
reveal_model_performance
                        Reveal the model performance/fit indices from a
                        multiverse analysis
reveal_model_warnings   Reveal any warnings about your models during a
                        multiverse analysis
reveal_reliabilities    Reveal a set of multiverse cronbach's alpha
                        statistics
reveal_summary_stats    Reveal a set of summary statistics from a
                        multiverse analysis
run_descriptives        Run a multiverse-style descriptive analysis
                        based on a complete decision grid
run_multiverse          Run a multiverse based on a complete decision
                        grid
run_multiverse_furrr    Run a multi-core, multiverse based on a
                        complete decision grid
show_code_subgroups     Show multiverse data code pipelines
summarize_filter_ns     Summarize samples sizes for each unique
                        filtering expression
