Package: multifear 0.1.3
multifear: Multiverse Analyses for Conditioning Data
A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) <doi:10.1016/j.brat.2022.104072>.
Authors:
multifear_0.1.3.tar.gz
multifear_0.1.3.zip(r-4.5)multifear_0.1.3.zip(r-4.4)multifear_0.1.3.zip(r-4.3)
multifear_0.1.3.tgz(r-4.4-any)multifear_0.1.3.tgz(r-4.3-any)
multifear_0.1.3.tar.gz(r-4.5-noble)multifear_0.1.3.tar.gz(r-4.4-noble)
multifear_0.1.3.tgz(r-4.4-emscripten)multifear_0.1.3.tgz(r-4.3-emscripten)
multifear.pdf |multifear.html✨
multifear/json (API)
NEWS
| # Install 'multifear' in R: |
| install.packages('multifear', repos = c('https://angelospsy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/angelospsy/multifear/issues
- example_data - Simulated data sets of skin conductance responses
Last updated 1 years agofrom:84adfe50dc. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
Exports:bt_test_mfchop_cschop_csscombine_csexclusion_criteriaforestplot_mfinference_csinference_plotmixed_mfmultiverse_csrm_anova_mfrm_banova_mft_test_mfuniverse_cs
Dependencies:abindbackportsBayesFactorbayestestRbootbootstrapbroomcarcarDatacheckmateclicodacolorspacecontfraccowplotcpp11datawizardDerivdeSolvedoBydplyreffectsizeeffsizeellipticescezfansifarverforestplotFormulagenericsggplot2gluegtablehypergeoinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivparameterspbapplypbkrtestperformancepillarpkgconfigplyrpurrrquantregR6RColorBrewerRcppRcppEigenreshape2rlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| bt_test_mf | bt_test_mf |
| chop_cs | chop_cs |
| chop_css | chop_css |
| combine_cs | combine_cs |
| Simulated data sets of skin conductance responses | example_data |
| exclusion_criteria | exclusion_criteria |
| forestplot_mf | forestplot_mf |
| inference_cs | inference_cs |
| inference_plot | inference_plot |
| mixed_mf | mixed_mf |
| multiverse_cs | multiverse_cs |
| rm_anova_mf | rm_anova_mf |
| rm_banova_mf | rm_banova_mf |
| t_test_mf | t_test_mf |
| universe_cs | universe_cs |
