Package: bayes4psy 1.2.13

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:Jure Demšar [cre, aut], Grega Repovš [aut], Erik Štrumbelj [aut], Trustees of Columbia University [cph], John Kruschke [cph], Rasmus Baath [cph]

bayes4psy_1.2.13.tar.gz
bayes4psy_1.2.13.zip(r-4.7-x86_64)bayes4psy_1.2.13.zip(r-4.7-arm64)bayes4psy_1.2.13.zip(r-4.6-x86_64)bayes4psy_1.2.13.zip(r-4.6-arm64)
bayes4psy_1.2.13.tar.gz(r-4.7-arm64)bayes4psy_1.2.13.tar.gz(r-4.7-x86_64)bayes4psy_1.2.13.tar.gz(r-4.6-arm64)bayes4psy_1.2.13.tar.gz(r-4.6-x86_64)
bayes4psy_1.2.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bayes4psy/json (API)

# Install 'bayes4psy' in R:
install.packages('bayes4psy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bstatcomp/bayes4psy/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
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.

On CRAN:

Conda:

onetbbcpp

3.99 score 49 scripts 470 downloads 1 mentions 26 exports 77 dependencies

Last updated from:44719f10e0. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK397
linux-devel-x86_64OK439
source / vignettesOK574
linux-release-arm64OK416
linux-release-x86_64OK484
windows-devel-arm64OK533
windows-devel-x86_64OK677
windows-release-arm64OK544
windows-release-x86_64OK607
wasm-releaseOK308

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:abindbackportsBHbootbriocallrcheckmatecircularclicowplotcpp11crayonDEoptimRdescdiffobjdistributionaldplyrellipseemgevaluatefarverfftwtoolsfsgenericsggplot2gluegridExtragtableinlineisobandjsonlitelabelinglifecycleloomagrittrMASSmatrixStatsmcmcsemetRologymomentsmvtnormnumDerivotelpillarpkgbuildpkgconfigpkgloadplyrposteriorpraiseprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshaperlangrobustbaserprojrootrstanrstantoolsS7scalesStanHeaderstensorAtestthattibbletidyselectutf8vctrsviridisLitewaldowithr

Analysis of the after images experiment data using the Bayesian color model
Introduction
Rendered fromafterimages.Rmdusingknitr::rmarkdown

Last update: 2023-09-29
Started: 2019-12-13

Analysis of the adaptation level experiment data using the Bayesian linear model
Introduction
Rendered fromadaptation_level.Rmdusingknitr::rmarkdown

Last update: 2023-09-29
Started: 2019-12-13

Analysis of the flanker experiment data using the Bayesian reaction time and success rate models
Introduction
Rendered fromflanker.Rmdusingknitr::rmarkdown

Last update: 2023-09-29
Started: 2019-12-13

Analysis of the Stroop experiment data using the Bayesian t-test
Introduction
Rendered fromstroop.Rmdusingknitr::rmarkdown

Last update: 2023-09-29
Started: 2019-12-13

Readme and manuals

Help Manual

Help pageTopics
The 'bayes4psy' package.bayes4psy-package bayes4psy
b_bootstrapb_bootstrap
b_colorb_color
b_linearb_linear
b_priorb_prior b_prior-class
b_reaction_timeb_reaction_time
b_resultsb_results-class
b_success_rateb_success_rate
b_ttestb_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_classcolor_class color_class-class
compare_distributionscompare_distributions
compare_distributionscompare_distributions,color_class-method compare_distributions_color
compare_distributionscompare_distributions,linear_class-method compare_distributions_linear
compare_distributionscompare_distributions,reaction_time_class-method compare_distributions_reaction_time
compare_distributionscompare_distributions,success_rate_class-method compare_distributions_success_rate
compare_distributionscompare_distributions,ttest_class-method compare_distributions_ttest
compare_meanscompare_means
compare_meanscompare_means,color_class-method compare_means_color
compare_meanscompare_means,linear_class-method compare_meanslinear
compare_meanscompare_means,reaction_time_class-method compare_means_reaction_time
compare_meanscompare_means,success_rate_class-method compare_means_success_rate
compare_meanscompare_means,ttest_class-method compare_means_ttest
get_parametersget_parameters
get_parametersget_parameters,color_class-method get_parameters_color_class
get_parametersget_parameters,linear_class-method get_parameters_linear_class
get_parametersget_parameters,reaction_time_class-method get_parameters_reaction_time
get_parametersget_parameters,success_rate_class-method get_parameters_success_rate_class
get_parametersget_parameters,ttest_class-method get_parameters_ttest_class
get_prior_idget_prior_id get_prior_id,b_prior-method get_prior_id_b_prior
get_subject_parametersget_subject_parameters
get_subject_parametersget_subject_parameters,linear_class-method get_subject_parameters_linear_class
get_subject_parametersget_subject_parameters,reaction_time_class-method get_subject_parameters_reaction_time
get_subject_parametersget_subject_parameters,success_rate_class-method get_subject_parameters_success_rate_class
linear_classlinear_class linear_class-class
mcmc_hdimcmc_hdi
plot_distributionsplot_distributions
plot_distributions_differenceplot_distributions_difference
plot_distributions_differenceplot_distributions_difference,color_class-method plot_distributions_difference_color
plot_distributions_differenceplot_distributions_difference,linear_class-method plot_distributions_difference_linear
plot_distributions_differenceplot_distributions_difference,reaction_time_class-method plot_distributions_difference_reaction_time
plot_distributions_differenceplot_distributions_difference,success_rate_class-method plot_distributions_difference_success_rate
plot_distributions_differenceplot_distributions_difference,ttest_class-method plot_distributions_difference_ttest
plot_distributions_hsvplot_distributions_hsv plot_distributions_hsv,color_class-method plot_distributions_hsv_color
plot_distributionsplot_distributions,color_class-method plot_distributions_color
plot_distributionsplot_distributions,linear_class-method plot_distributions_linear
plot_distributionsplot_distributions,reaction_time_class-method plot_distributions_reaction_time
plot_distributionsplot_distributions,success_rate_class-method plot_distributions_success_rate
plot_distributionsplot_distributions,ttest_class-method plot_distributions_ttest
plot_fitplot_fit
plot_fit_hsvplot_fit_hsv plot_fit_hsv,color_class-method plot_fit_hsv_color
plot_fitplot_fit,color_class-method plot_fit_color
plot_fitplot_fit,linear_class-method plot_fit_linear
plot_fitplot_fit,reaction_time_class-method plot_fit_reaction_time
plot_fitplot_fit,success_rate_class-method plot_fit_success_rate
plot_fitplot_fit,ttest_class-method plot_fit_ttest
plot_hsvplot_hsv plot_hsv,color_class-method plot_hsv_color
plot_meansplot_means
plot_means_differenceplot_means_difference
plot_means_differenceplot_means_difference,color_class-method plot_means_difference_color
plot_means_differenceplot_means_difference,linear_class-method plot_means_difference_linear
plot_means_differenceplot_means_difference,reaction_time_class-method plot_means_difference_reaction_time
plot_means_differenceplot_means_difference,success_rate_class-method plot_means_difference_success_rate
plot_means_differenceplot_means_difference,ttest_class-method plot_means_difference_ttest
plot_means_hsvplot_means_hsv plot_means_hsv,color_class-method plot_means_hsv_color
plot_meansplot_means,color_class-method plot_means_color
plot_meansplot_means,linear_class-method plot_means_linear
plot_meansplot_means,reaction_time_class-method plot_means_reaction_time
plot_meansplot_means,success_rate_class-method plot_means_success_rate
plot_meansplot_means,ttest_class-method plot_means_ttest
plot_traceplot_trace
plot_traceplot_trace,color_class-method plot_trace_color
plot_traceplot_trace,linear_class-method plot_trace_linear
plot_traceplot_trace,reaction_time_class-method plot_trace_reaction_time
plot_traceplot_trace,success_rate_class-method plot_trace_success_rate
plot_traceplot_trace,ttest_class-method plot_trace_ttest
plotplot,color_class,missing-method
plotplot,linear_class,missing-method
plotplot,reaction_time_class,missing-method
plotplot,success_rate_class,missing-method
plotplot,ttest_class,missing-method
reaction_time_classreaction_time_class reaction_time_class-class
showshow,color_class-method
showshow,linear_class-method
showshow,reaction_time_class-method
showshow,success_rate_class-method
showshow,ttest_class-method
success_rate_classsuccess_rate_class success_rate_class-class
summarysummary,color_class-method
summarysummary,linear_class-method
summarysummary,reaction_time_class-method
summarysummary,success_rate_class-method
summarysummary,ttest_class-method
ttest_classttest_class ttest_class-class