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Research in psychology generates interesting data sets and unique statisticalmodelling tasks. However, these tasks, while important, are often veryspecific, so appropriate statistical models and methods cannot be found inaccessible Bayesian tools. As a result, the use of Bayesian methods is limitedto those that have the technical and statistical fundamentals that are requiredfor probabilistic programming. Such knowledge is not part of the typicalpsychology curriculum and is a difficult obstacle for psychology students andresearchers to overcome. The goal of the bayes4psy package is to bridge thisgap and offer a collection of models and methods to be used for data analysisthat arises from psychology experiments and as a teaching tool for Bayesianstatistics in psychology. The package contains Bayesian t-test andbootstrapping and models for analyzing reaction times, success rates, andcolors. It also provides all the diagnostic, analytic and visualization toolsfor the modern Bayesian data analysis workflow.

bayes4psy -- an Open Source R Package for Bayesian Statistics in Psychology