| brms: An R Package for Bayesian Multilevel Models Using Stan PC Bürkner Journal of Statistical Software 80, 1-28, 2017 | 8881 | 2017 |
| emmeans: Estimated marginal means R Lenth, H Singmann, J Love, P Buerkner, M Herve | 2974* | 2019 |
| Advanced Bayesian multilevel modeling with the R package brms PC Bürkner The R Journal, 2017 | 2907* | 2017 |
| Rank-normalization, folding, and localization: An improved Rhat for assessing convergence of MCMC (with discussion) A Vehtari, A Gelman, D Simpson, B Carpenter, PC Bürkner Bayesian analysis 16 (2), 667-718, 2021 | 1609 | 2021 |
| loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ... CRAN: Contributed Packages, 2015 | 897* | 2015 |
| Ordinal regression models in psychology: A tutorial PC Bürkner, M Vuorre Advances in Methods and Practices in Psychological Science 2 (1), 77-101, 2019 | 712* | 2019 |
| Bayesian item response modeling in R with brms and Stan PC Bürkner Journal of statistical software 100, 1-54, 2021 | 586 | 2021 |
| Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020 | 470 | 2020 |
| Modelling monotonic effects of ordinal predictors in Bayesian regression models PC Bürkner, E Charpentier British Journal of Mathematical and Statistical Psychology 73 (3), 420-451, 2020 | 193* | 2020 |
| An introduction to Bayesian multilevel models using brms: A case study of gender effects on vowel variability in standard Indonesian L Nalborczyk, C Batailler, H Lœvenbruck, A Vilain, PC Bürkner Journal of Speech, Language, and Hearing Research 62 (5), 1225-1242, 2019 | 181 | 2019 |
| Effects of expressive writing on depressive symptoms—A meta‐analysis M Reinhold, PC Bürkner, H Holling Clinical Psychology: Science and Practice 25 (1), e12224, 2018 | 179 | 2018 |
| brms: Bayesian regression models using Stan PC Bürkner R package version 0.10. 0, 2016 | 169 | 2016 |
| Shedding light on the association between repetitive negative thinking and deficits in cognitive control–A meta-analysis U Zetsche, PC Bürkner, L Schulze Clinical psychology review 63, 56-65, 2018 | 166 | 2018 |
| Distinct cognitive impairments in different disease courses of multiple sclerosis—A systematic review and meta-analysis A Johnen, NC Landmeyer, PC Bürkner, H Wiendl, SG Meuth, H Holling Neuroscience & Biobehavioral Reviews 83, 568-578, 2017 | 161 | 2017 |
| The efficacy of emotionally focused couples therapy and behavioral couples therapy: A meta‐analysis M Rathgeber, PC Bürkner, EM Schiller, H Holling Journal of marital and family therapy 45 (3), 447-463, 2019 | 135 | 2019 |
| Approximate leave-future-out cross-validation for Bayesian time series models PC Bürkner, J Gabry, A Vehtari Journal of Statistical Computation and Simulation 90 (14), 2499-2523, 2020 | 126 | 2020 |
| Disease-modifying treatments and cognition in relapsing-remitting multiple sclerosis: A meta-analysis NC Landmeyer, PC Bürkner, H Wiendl, T Ruck, HP Hartung, H Holling, ... Neurology 94 (22), e2373-e2383, 2020 | 119 | 2020 |
| Workflow techniques for the robust use of bayes factors. DJ Schad, B Nicenboim, PC Bürkner, M Betancourt, S Vasishth Psychological methods 28 (6), 1404, 2023 | 117 | 2023 |
| Broom. mixed: Tidying methods for mixed models B Bolker, D Robinson, D Menne, J Gabry, P Buerkner, C Hau, W Petry R package version 0.2 6, 2020 | 117 | 2020 |
| Bayesian meta-analysis with weakly informative prior distributions DR Williams, P Rast, PC Bürkner PsyArXiv, 2018 | 108 | 2018 |
