Package index • multitool

Creating a Pipeline

Add your analysis pipeline steps

add_subgroups(): Add sub groups to the multiverse pipeline
add_filters(): Add filtering/exclusion criteria to a multiverse pipeline
add_variables(): Add a set of variable alternatives to a multiverse pipeline
add_model(): Add a model and formula to a multiverse pipeline
add_model_descriptives(): Add arbitrary summary statistics to a multiverse pipeline
add_preprocess(): Add arbitrary preprocessing code to a multiverse analysis pipeline
add_postprocess(): Add arbitrary postprocessing code to a multiverse pipeline
add_parameter_keys(): Add parameter keys names for later use in summarizing model effects
expand_decisions(): Expand a set of multiverse decisions into all possible combinations

View metadata, check the code, and test the pipeline

visualize_pipeline(): Visualize an analysis pipeline workflow
detect_multiverse_n(): Detect total number of analysis pipelines
detect_n_subgroups(): Detect total number of subgroups in your pipelines
detect_n_filters(): Detect total number of filtering expressions your pipelines
detect_n_variables(): Detect total number of variable sets in your pipelines
detect_n_models(): Detect total number of models in your pipelines
summarize_filter_ns(): Summarize samples sizes for each unique filtering expression
show_code() show_code_subgroups() show_code_filters() show_code_preprocess() show_code_model() show_code_postprocess(): Show multiverse data code pipelines

Execute the whole pipeline and all alternatives

Unpack your results for viewing, plotting, and understanding

unpack_specs(): Unpack the decision grid of specifications for your modeling pipeline
unpack_results() unpack_model_parameters() unpack_model_performance() unpack_model_warnings() unpack_model_messages() unpack_postprocess(): Unpack a component of your analyzed grid
condense() organize(): Summarize multiverse parameters

Evaluate the robustness of a model output over the whole decision space, by decision alternatives, or assess the impact of making specific decisions.

assess_robustness(): Assess the robustness of multiverse analysis results
assess_decisions(): Decompose decision variance using Sobol sensitivity indices and variance dispersal

Functions that have been replaced by new approaches that are better. These functions still work and will stick around for awhile.

create_blueprint_graph() superseded: Create a Analysis Pipeline diagram
run_multiverse() superseded: Run a multiverse based on a complete decision grid
run_multiverse_furrr() superseded: Run a multi-core, multiverse based on a complete decision grid

Functions that are no longer supported and will be removed in a future version.

add_correlations() deprecated: Add correlations from the correlation package in easystats
add_reliabilities() deprecated: Add item reliabilities to a multiverse pipeline
add_summary_stats() deprecated: Add a set of descriptive statistics to compute over a set of variables
reveal() deprecated: Reveal the contents of a multiverse analysis
reveal_model_messages() deprecated: Reveal any messages about your models during a multiverse analysis
reveal_model_parameters() deprecated: Reveal the model parameters of a multiverse analysis
reveal_model_performance() deprecated: Reveal the model performance/fit indices from a multiverse analysis
reveal_model_warnings() deprecated: Reveal any warnings about your models during a multiverse analysis