brms swMATH ID: 19099 Software Authors: Paul-Christian Bürkner Description: R package brms. brms: Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit – among others – linear, robust linear, binomial, Poisson, survival, response times, ordinal, zero-inflated, hurdle, and even non-linear models all in a multilevel context. Further modeling options include auto-correlation and smoothing terms, user defined dependence structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. In addition, model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. Homepage: https://cran.r-project.org/web/packages/brms/index.html Source Code: https://github.com/cran/brms Dependencies: R Keywords: R; Journal of Statistical Software; CRAN; R package; brms; Bayesian Regression Models; Stan; Bayesian inference; item response theory Related Software: R; Stan; JAGS; lme4; rstanarm; WinBUGS; ggplot2; rstan; loo; MCMCglmm; CODA; nlme; RStan; lavaan; bayesplot; VGAM; Mcmcpack; rethinking; StanHeaders; dplyr Cited in: 21 Documents Standard Articles 2 Publications describing the Software Year Bayesian Item Response Modeling in R with brms and Stan Link Paul-Christian Burkner 2021 brms: An R Package for Bayesian Multilevel Models Using Stan Link Paul-Christian Bürkner 2017 all top 5 Cited by 60 Authors 4 Vehtari, Aki 3 Bürkner, Paul-Christian 2 Gabry, Jonah 1 Alkhairy, Ibrahim 1 Andersen, Michael Riis 1 Bao, Le 1 Bibby, Bo Martin 1 Chen, Tom 1 Choy, Samantha Low 1 Coombes, Jacqueline 1 Cowell, Rosemary A. 1 Davison, Anthony C. 1 Degani, Emanuele 1 El-Bachir, Yousra 1 Ensor, Katherine Bennett 1 Graves, Benjamin 1 Himmelstein, Mark 1 Hong, Maxwell R. 1 Horta, Ana 1 Huber, David E. 1 Hui, Francis K. C. 1 Jacobucci, Ross 1 Kendal, Jeremy R. 1 Kendal, Rachel L. 1 Krainski, Elias T. 1 Kristensen, Simon Bang 1 Laga, Ian 1 Maestrini, Luca 1 McManus, Scott 1 Merkle, Edgar C. 1 Morgan, Thomas J. H. 1 Mulder, Joris 1 Murray, Justine V. 1 Niu, Xiaoyue 1 Novitsky, Vladimir 1 Oberski, Daniel L. 1 Paasiniemi, Markus 1 Pettitt, Anthony N. 1 Piironen, Juho 1 Raath, Kim C. 1 Rahman, Azizur 1 Riutort-Mayol, Gabriel 1 Rosseel, Yves 1 Rue, Håvard 1 Rustand, Denis 1 Sadil, Patrick 1 Sandberg, Kristian 1 Solin, Arno 1 Tanaka, Emi 1 Toczydłowska, Dorota 1 Van de Vyver, Julie 1 van Erp, Sara 1 van Niekerk, Janet 1 Wand, Matthew P. 1 Wang, Junhu 1 Wang, Rui 1 Wang, Ting 1 Watson, Robin 1 Wollschläger, Daniel 1 Zhao, Lihui all top 5 Cited in 13 Serials 4 Journal of Mathematical Psychology 2 Psychometrika 2 Electronic Journal of Statistics 1 Biometrics 1 Journal of the American Statistical Association 1 Computational Statistics 1 Journal of Statistical Computation and Simulation 1 Computational Statistics and Data Analysis 1 Journal of Applied Statistics 1 Journal of Machine Learning Research (JMLR) 1 Sankhyā. Series B 1 Games 1 Statistics and Computing Cited in 5 Fields 19 Statistics (62-XX) 3 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 2 Probability theory and stochastic processes (60-XX) 1 General and overarching topics; collections (00-XX) 1 Computer science (68-XX) Citations by Year