User Friendly Bayesian Data Analysis for Psychology
b_bootstrap
b_color
b_linear
b_prior
get_prior_id
b_reaction_time
b_results
compare_distributions
compare_means
get_parameters
get_subject_parameters
plot_distributions
plot_distributions_difference
plot_fit
plot_means
plot_means_difference
plot_trace
b_success_rate
b_ttest
Datasets for bayes4psy examples Example datasets for use in rstanarm...
The 'bayes4psy' package.
color_class
compare_distributions
compare_means
get_parameters
plot_distributions
plot_distributions_difference
plot_distributions_hsv
plot_fit
plot_fit_hsv
plot_hsv
plot_means
plot_means_difference
plot_means_hsv
plot_trace
linear_class
compare_distributions
compare_means
get_parameters
get_subject_parameters
plot_distributions
plot_distributions_difference
plot_fit
plot_means
plot_means_difference
plot_trace
mcmc_hdi
plot
plot
plot
plot
plot
reaction_time_class
compare_distributions
compare_means
get_parameters
get_subject_parameters
plot_distributions
plot_distributions_difference
plot_fit
plot_means
plot_means_difference
plot_trace
show
show
show
show
show
success_rate_class
compare_distributions
compare_means
get_parameters
get_subject_parameters
plot_distributions
plot_distributions_difference
plot_fit
plot_means
plot_means_difference
plot_trace
summary
summary
summary
summary
summary
ttest_class
compare_distributions
compare_means
get_parameters
plot_distributions
plot_distributions_difference
plot_fit
plot_means
plot_means_difference
plot_trace
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>).