Package: bayes4psy 1.2.12
Jure Demšar
bayes4psy: User Friendly Bayesian Data Analysis for Psychology
Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).
Authors:
bayes4psy_1.2.12.tar.gz
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bayes4psy.pdf |bayes4psy.html✨
bayes4psy/json (API)
NEWS
| # Install 'bayes4psy' in R: |
| install.packages('bayes4psy', repos = c('https://bstatcomp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bstatcomp/bayes4psy/issues
Datasets:
- adaptation_level - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- adaptation_level_small - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- after_images - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- after_images_opponent_process - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- after_images_stimuli - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- after_images_trichromatic - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- flanker - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- stroop_extended - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
- stroop_simple - Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.
Last updated 1 years agofrom:483cf701cf. Checks:OK: 2 NOTE: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 23 2024 |
| R-4.5-linux-x86_64 | OK | Nov 23 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 23 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 23 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 23 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 23 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 23 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 23 2024 |
Exports:b_bootstrapb_colorb_linearb_priorb_reaction_timeb_success_rateb_ttestcompare_distributionscompare_meansget_parametersget_prior_idget_subject_parametersmcmc_hdiplotplot_distributionsplot_distributions_differenceplot_distributions_hsvplot_fitplot_fit_hsvplot_hsvplot_meansplot_means_differenceplot_means_hsvplot_traceshowsummary
Dependencies:abindbackportsBHbootbriocallrcheckmatecircularclicolorspacecowplotcrayonDEoptimRdescdiffobjdigestdistributionaldplyrellipseemgevaluatefansifarverfftwtoolsfsgenericsggplot2gluegridExtragtableinlineisobandjsonlitelabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmcmcsemetRologymgcvmomentsmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigpkgloadplyrposteriorpraiseprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshaperlangrobustbaserprojrootrstanrstantoolsscalesStanHeaderstensorAtestthattibbletidyselectutf8vctrsviridisLitewaldowithr
Analysis of the after images experiment data using the Bayesian color model
Rendered fromafterimages.Rmdusingknitr::rmarkdownon Nov 23 2024.Last update: 2020-12-07
Started: 2019-12-09
Analysis of the adaptation level experiment data using the Bayesian linear model
Rendered fromadaptation_level.Rmdusingknitr::rmarkdownon Nov 23 2024.Last update: 2021-04-28
Started: 2019-12-09
Analysis of the flanker experiment data using the Bayesian reaction time and success rate models
Rendered fromflanker.Rmdusingknitr::rmarkdownon Nov 23 2024.Last update: 2020-12-07
Started: 2019-12-09
Analysis of the Stroop experiment data using the Bayesian t-test
Rendered fromstroop.Rmdusingknitr::rmarkdownon Nov 23 2024.Last update: 2020-12-07
Started: 2019-12-09
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'bayes4psy' package. | bayes4psy-package bayes4psy |
| b_bootstrap | b_bootstrap |
| b_color | b_color |
| b_linear | b_linear |
| b_prior | b_prior b_prior-class |
| b_reaction_time | b_reaction_time |
| b_results | b_results-class |
| b_success_rate | b_success_rate |
| b_ttest | b_ttest |
| Datasets for bayes4psy examples Example datasets for use in 'rstanarm' examples and vignettes. The datasets were extracted from the internal MBLab <http://www.mblab.si> repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia. | adaptation_level adaptation_level_small after_images after_images_opponent_process after_images_stimuli after_images_trichromatic bayes4psy-datasets flanker stroop_extended stroop_simple |
| color_class | color_class color_class-class |
| compare_distributions | compare_distributions |
| compare_distributions | compare_distributions,color_class-method compare_distributions_color |
| compare_distributions | compare_distributions,linear_class-method compare_distributions_linear |
| compare_distributions | compare_distributions,reaction_time_class-method compare_distributions_reaction_time |
| compare_distributions | compare_distributions,success_rate_class-method compare_distributions_success_rate |
| compare_distributions | compare_distributions,ttest_class-method compare_distributions_ttest |
| compare_means | compare_means |
| compare_means | compare_means,color_class-method compare_means_color |
| compare_means | compare_means,linear_class-method compare_meanslinear |
| compare_means | compare_means,reaction_time_class-method compare_means_reaction_time |
| compare_means | compare_means,success_rate_class-method compare_means_success_rate |
| compare_means | compare_means,ttest_class-method compare_means_ttest |
| get_parameters | get_parameters |
| get_parameters | get_parameters,color_class-method get_parameters_color_class |
| get_parameters | get_parameters,linear_class-method get_parameters_linear_class |
| get_parameters | get_parameters,reaction_time_class-method get_parameters_reaction_time |
| get_parameters | get_parameters,success_rate_class-method get_parameters_success_rate_class |
| get_parameters | get_parameters,ttest_class-method get_parameters_ttest_class |
| get_prior_id | get_prior_id get_prior_id,b_prior-method get_prior_id_b_prior |
| get_subject_parameters | get_subject_parameters |
| get_subject_parameters | get_subject_parameters,linear_class-method get_subject_parameters_linear_class |
| get_subject_parameters | get_subject_parameters,reaction_time_class-method get_subject_parameters_reaction_time |
| get_subject_parameters | get_subject_parameters,success_rate_class-method get_subject_parameters_success_rate_class |
| linear_class | linear_class linear_class-class |
| mcmc_hdi | mcmc_hdi |
| plot_distributions | plot_distributions |
| plot_distributions_difference | plot_distributions_difference |
| plot_distributions_difference | plot_distributions_difference,color_class-method plot_distributions_difference_color |
| plot_distributions_difference | plot_distributions_difference,linear_class-method plot_distributions_difference_linear |
| plot_distributions_difference | plot_distributions_difference,reaction_time_class-method plot_distributions_difference_reaction_time |
| plot_distributions_difference | plot_distributions_difference,success_rate_class-method plot_distributions_difference_success_rate |
| plot_distributions_difference | plot_distributions_difference,ttest_class-method plot_distributions_difference_ttest |
| plot_distributions_hsv | plot_distributions_hsv plot_distributions_hsv,color_class-method plot_distributions_hsv_color |
| plot_distributions | plot_distributions,color_class-method plot_distributions_color |
| plot_distributions | plot_distributions,linear_class-method plot_distributions_linear |
| plot_distributions | plot_distributions,reaction_time_class-method plot_distributions_reaction_time |
| plot_distributions | plot_distributions,success_rate_class-method plot_distributions_success_rate |
| plot_distributions | plot_distributions,ttest_class-method plot_distributions_ttest |
| plot_fit | plot_fit |
| plot_fit_hsv | plot_fit_hsv plot_fit_hsv,color_class-method plot_fit_hsv_color |
| plot_fit | plot_fit,color_class-method plot_fit_color |
| plot_fit | plot_fit,linear_class-method plot_fit_linear |
| plot_fit | plot_fit,reaction_time_class-method plot_fit_reaction_time |
| plot_fit | plot_fit,success_rate_class-method plot_fit_success_rate |
| plot_fit | plot_fit,ttest_class-method plot_fit_ttest |
| plot_hsv | plot_hsv plot_hsv,color_class-method plot_hsv_color |
| plot_means | plot_means |
| plot_means_difference | plot_means_difference |
| plot_means_difference | plot_means_difference,color_class-method plot_means_difference_color |
| plot_means_difference | plot_means_difference,linear_class-method plot_means_difference_linear |
| plot_means_difference | plot_means_difference,reaction_time_class-method plot_means_difference_reaction_time |
| plot_means_difference | plot_means_difference,success_rate_class-method plot_means_difference_success_rate |
| plot_means_difference | plot_means_difference,ttest_class-method plot_means_difference_ttest |
| plot_means_hsv | plot_means_hsv plot_means_hsv,color_class-method plot_means_hsv_color |
| plot_means | plot_means,color_class-method plot_means_color |
| plot_means | plot_means,linear_class-method plot_means_linear |
| plot_means | plot_means,reaction_time_class-method plot_means_reaction_time |
| plot_means | plot_means,success_rate_class-method plot_means_success_rate |
| plot_means | plot_means,ttest_class-method plot_means_ttest |
| plot_trace | plot_trace |
| plot_trace | plot_trace,color_class-method plot_trace_color |
| plot_trace | plot_trace,linear_class-method plot_trace_linear |
| plot_trace | plot_trace,reaction_time_class-method plot_trace_reaction_time |
| plot_trace | plot_trace,success_rate_class-method plot_trace_success_rate |
| plot_trace | plot_trace,ttest_class-method plot_trace_ttest |
| plot | plot,color_class,missing-method |
| plot | plot,linear_class,missing-method |
| plot | plot,reaction_time_class,missing-method |
| plot | plot,success_rate_class,missing-method |
| plot | plot,ttest_class,missing-method |
| reaction_time_class | reaction_time_class reaction_time_class-class |
| show | show,color_class-method |
| show | show,linear_class-method |
| show | show,reaction_time_class-method |
| show | show,success_rate_class-method |
| show | show,ttest_class-method |
| success_rate_class | success_rate_class success_rate_class-class |
| summary | summary,color_class-method |
| summary | summary,linear_class-method |
| summary | summary,reaction_time_class-method |
| summary | summary,success_rate_class-method |
| summary | summary,ttest_class-method |
| ttest_class | ttest_class ttest_class-class |
