Package: multitool 0.1.4.9000

multitool: Run Multiverse Style Analyses

Run the same analysis over a range of arbitrary data processing decisions. 'multitool' provides an interface for creating alternative analysis pipelines and turning them into a grid of all possible pipelines. Using this grid as a blueprint, you can model your data across all possible pipelines and summarize the results.

Authors:Ethan Young [aut, cre, cph], Stefan Vermeent [aut]

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multitool.pdf |multitool.html✨
multitool/json (API)
NEWS

# Install 'multitool' in R:
install.packages('multitool', repos = c('https://ethan-young.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ethan-young/multitool/issues

On CRAN:

6.15 score 70 scripts 131 downloads 37 exports 105 dependencies

Last updated 2 months agofrom:a9672b0ecb. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winNOTEOct 25 2024
R-4.5-linuxNOTEOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:add_correlationsadd_filtersadd_modeladd_parameter_keysadd_postprocessadd_preprocessadd_reliabilitiesadd_subgroupsadd_summary_statsadd_variablescondensecreate_blueprint_graphdetect_multiverse_ndetect_n_filtersdetect_n_modelsdetect_n_subgroupsdetect_n_variablesexpand_decisionsrevealreveal_corrsreveal_model_messagesreveal_model_parametersreveal_model_performancereveal_model_warningsreveal_reliabilitiesreveal_summary_statsrun_descriptivesrun_multiverseshow_code_corrsshow_code_filtershow_code_modelshow_code_postprocessshow_code_preprocessshow_code_reliabilitiesshow_code_subgroupsshow_code_summary_statssummarize_filter_ns

Dependencies:askpassbase64encbayestestRbitbit64bootbslibcachemclicliprcolorspacecorrelationcpp11crayondata.tabledatawizardDiagrammeRdigestdistributionaldplyrevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggdistggplot2gluegtablehighrhmshtmltoolshtmlwidgetsigraphinsightisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixmemoisemgcvmimeminqamomentsmunsellnlmenloptrnumDerivofficeropensslparametersperformancepillarpkgconfigprettyunitsprogresspurrrquadprogR6raggrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrstudioapisassscalesstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttinytextzdbutf8uuidvctrsviridisLitevisNetworkvroomwithrxfunxml2yamlzip

Defining an Analysis Pipeline Blueprint

Rendered fromcreate-your-blueprint.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2024-03-01
Started: 2023-08-21

multitool Nomenclature

Rendered frommultitool-nomenclature.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2023-09-14
Started: 2023-09-14

Run your Pipeline

Rendered fromrun-your-pipeline.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2024-03-12
Started: 2023-08-21

Check and Test your Blueprint

Rendered fromvalidate-your-blueprint.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2024-03-01
Started: 2023-08-21

Readme and manuals

Help Manual

Help pageTopics
Add correlations from the 'correlation' package in 'easystats'add_correlations
Add filtering/exclusion criteria to a multiverse pipelineadd_filters
Add a model and formula to a multiverse pipelineadd_model
Add parameter keys names for later use in summarizing model effectsadd_parameter_keys
Add arbitrary postprocessing code to a multiverse pipelineadd_postprocess
Add arbitrary preprocessing code to a multiverse analysis pipelineadd_preprocess
Add item reliabilities to a multiverse pipelineadd_reliabilities
Add sub groups to the multiverse pipelineadd_subgroups
Add a set of descriptive statistics to compute over a set of variablesadd_summary_stats
Add a set of variable alternatives to a multiverse pipelineadd_variables
Summarize multiverse parameterscondense
Create a Analysis Pipeline diagramcreate_blueprint_graph
Detect total number of analysis pipelinesdetect_multiverse_n
Detect total number of filtering expressions your pipelinesdetect_n_filters
Detect total number of models in your pipelinesdetect_n_models
Detect total number of subgroups in your pipelinesdetect_n_subgroups
Detect total number of variable sets in your pipelinesdetect_n_variables
Expand a set of multiverse decisions into all possible combinationsexpand_decisions
Reveal the contents of a multiverse analysisreveal
Reveal a set of multiverse correlationsreveal_corrs
Reveal any messages about your models during a multiverse analysisreveal_model_messages
Reveal the model parameters of a multiverse analysisreveal_model_parameters
Reveal the model performance/fit indices from a multiverse analysisreveal_model_performance
Reveal any warnings about your models during a multiverse analysisreveal_model_warnings
Reveal a set of multiverse cronbach's alpha statisticsreveal_reliabilities
Reveal a set of summary statistics from a multiverse analysisreveal_summary_stats
Run a multiverse-style descriptive analysis based on a complete decision gridrun_descriptives
Run a multiverse based on a complete decision gridrun_multiverse
Show multiverse data code pipelinesshow_code_corrs show_code_filter show_code_model show_code_postprocess show_code_preprocess show_code_reliabilities show_code_subgroups show_code_summary_stats
Summarize samples sizes for each unique filtering expressionsummarize_filter_ns