<b>BFpack</b>: Flexible Bayes Factor Testing of Scientific Theories in <i>R</i>

There have been considerable methodological developments of Bayes factors for hypothesis testing in the social and behavioral sciences, related fields. This development is due to flexibility factor multiple hypotheses simultaneously, ability test complex involving equality as well order constraints on parameters interest, interpretability outcome weight evidence provided by data support competing scientific theories. The available software tools Bayesian are still limited however. In this paper we present a new R package called BFpack that contains functions many common problems. includes novel (i) exploratory (e.g., zero vs positive negative effects), (ii) confirmatory (competing with and/or constraints), (iii) statistical analyses, such linear regression, generalized models, (multivariate) analysis (co)variance, correlation analysis, random intercept (iv) using default priors, (v) while allowing contain missing observations at random.