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 ).


Reference manual

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1.2.8 by Jure Demšar, 2 months ago

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Authors: Jure Demšar [cre, aut] , Grega Repovš [aut] , Erik Štrumbelj [aut] , Trustees of Columbia University [cph] , John Kruschke [cph] (R/shared_functions.R - mcmc_hdi , src/stan_files/ttest.stan) , Rasmus Baath [cph] (R/b_bootstrap.R)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports circular, cowplot, dplyr, emg, ggplot2, metRology, reshape, rstan, rstantools, mcmcse, scales, stats, utils

Depends on methods, Rcpp

Suggests testthat, rmarkdown, knitr

Linking to StanHeaders, rstan, BH, Rcpp, RcppEigen

System requirements: GNU make

See at CRAN