Package index
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add_subgroups() - Add sub groups to the multiverse pipeline
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add_filters() - Add filtering/exclusion criteria to a multiverse pipeline
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add_variables() - Add a set of variable alternatives to a multiverse pipeline
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add_model() - Add a model and formula to a multiverse pipeline
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add_model_descriptives() - Add arbitrary summary statistics to a multiverse pipeline
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add_preprocess() - Add arbitrary preprocessing code to a multiverse analysis pipeline
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add_postprocess() - Add arbitrary postprocessing code to a multiverse pipeline
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add_parameter_keys() - Add parameter keys names for later use in summarizing model effects
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expand_decisions() - Expand a set of multiverse decisions into all possible combinations
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visualize_pipeline() - Visualize an analysis pipeline workflow
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detect_multiverse_n() - Detect total number of analysis pipelines
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detect_n_subgroups() - Detect total number of subgroups in your pipelines
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detect_n_filters() - Detect total number of filtering expressions your pipelines
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detect_n_variables() - Detect total number of variable sets in your pipelines
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detect_n_models() - Detect total number of models in your pipelines
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summarize_filter_ns() - Summarize samples sizes for each unique filtering expression
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show_code()show_code_subgroups()show_code_filters()show_code_preprocess()show_code_model()show_code_postprocess() - Show multiverse data code pipelines
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analyze_grid() - Perform all analyses over a complete decision grid
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analyze_grid_parallel() - Analyze a complete decision grid in parallel
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unpack_specs() - Unpack the decision grid of specifications for your modeling pipeline
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unpack_results()unpack_model_parameters()unpack_model_performance()unpack_model_warnings()unpack_model_messages()unpack_postprocess() - Unpack a component of your analyzed grid
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condense()organize() - Summarize multiverse parameters
Assess Decision Sensitivity/Robustness
Evaluate the robustness of a model output over the whole decision space, by decision alternatives, or assess the impact of making specific decisions.
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assess_robustness() - Assess the robustness of multiverse analysis results
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assess_decisions() - Decompose decision variance using Sobol sensitivity indices and variance dispersal
Superseded
Functions that have been replaced by new approaches that are better. These functions still work and will stick around for awhile.
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create_blueprint_graph()superseded - Create a Analysis Pipeline diagram