Run Multiverse Style Analyses

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Documentation for package ‘multitool’ version 0.1.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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_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_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
show_code_corrs	Show multiverse data code pipelines
show_code_filter	Show multiverse data code pipelines
show_code_model	Show multiverse data code pipelines
show_code_postprocess	Show multiverse data code pipelines
show_code_preprocess	Show multiverse data code pipelines
show_code_reliabilities	Show multiverse data code pipelines
show_code_summary_stats	Show multiverse data code pipelines
summarize_filter_ns	Summarize samples sizes for each unique filtering expression