| Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example) D Wabersich, J Vandekerckhove Behavior research methods 46, 15-28, 2014 | 142 | 2014 |
| The RWiener Package: an R Package Providing Distribution Functions for the Wiener Diffusion Model. D Wabersich, J Vandekerckhove R Journal 6 (1), 2014 | 63 | 2014 |
| Hierarchical Bayesian measurement models for continuous reproduction of visual features from working memory K Oberauer, C Stoneking, D Wabersich, HY Lin Journal of Vision 17 (5), 11-11, 2017 | 33 | 2017 |
| Modeling across-trial variability in the Wald drift rate parameter H Steingroever, D Wabersich, EJ Wagenmakers Behavior Research Methods 53, 1060-1076, 2021 | 10 | 2021 |
| The RWiener package: An R package providing distribution functions for the Wiener diffusion model. The R Journal, 6 (1), 49 D Wabersich, J Vandekerckhove | 5 | 2014 |
| RWiener: Wiener process distribution functions [Computer software manual] D Wabersich R package version, 1.2-0, 2014 | 4 | 2014 |
| Package ‘RWiener’ D Wabersich, MD Wabersich, M Suggests | 1 | 2017 |
| " Hierarchical Bayesian measurement models for continuous reproduction of visual features from working memory": Correction. K Oberauer, C Stoneking, D Wabersich, HY Lin Assn for Research in Vision & Ophthalmology (ARVO), 2019 | | 2019 |
| Hierarchical Bayesian measurement models for continuous reproduction of visual features from working memory (vol 17, 11, 2017) K Oberauer, C Stoneking, D Wabersich, HY Lin JOURNAL OF VISION 19 (9), 2019 | | 2019 |
| Corrections to: Hierarchical Bayesian K Oberauer, C Stoneking, D Wabersich, HY Lin | | 2019 |
| Hierarchical Bayesian measurement models for K Oberauer, C Stoneking, D Wabersich, HY Lin | | 2017 |
| Incorporating individual differences into a categorization model D Wabersich | | 2013 |
Joachim VandekerckhoveUniversity of California, IrvineПотвърден имейл адрес: uci.edu
