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Dr. Raphael Hartmann


Albert-Ludwigs-Universität Freiburg
Institut für Psychologie
Engelbergerstraße 41
D-79085 Freiburg
Abteilung: Allgemeine Psychologie





+49 761 203 2483

3013 (3. OG)



  • Henrich, F., Hartmann, R., Pratz, V., Voss, A., & Klauer, K. C. (2023). The Seven-parameter Diffusion Model: an Implementation in Stan for Bayesian Analyses. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02179-1
  • Kloft, M., Hartmann, R., Voss,  Andreas, & Heck, D. W. (2023). The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses. Psychometrika. https://doi.org/10.1007/s11336-023-09924-7
  • Hartmann, R., Meyer-Grant, C. G., & Klauer, K. C. (2022). An adaptive rejection sampler for sampling from the Wiener diffusion model. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-022-01870-z
  • Hartmann, R., & Klauer, K. C. (2021). Partial derivatives for the first-passage time distribution in Wiener diffusion models. Journal of Mathematical Psychology, 103, 102550. https://doi.org/10.1016/j.jmp.2021.102550
  • Hartmann, R., Johannsen, L., & Klauer, K. C. (2020). rtmpt: An R package for fitting response-time extended multinomial processing tree models. Behavior Research Methods, 52(3), 1313–1338. https://doi.org/doi:10.3758/s13428-019-01318-x
  • Hartmann, R., & Klauer, K. C. (2020). Extending RT-MPTs to enable equal process times. Journal of Mathematical Psychology, 96, 102340. https://doi.org/10.1016/j.jmp.2020.102340



  • Hartmann, R. Meyer-Grant, C. G., & Klauer, K. C. (2023). Partial derivatives and an adaptive rejection sampler for the Wiener diffusion model. MathPsych/ICCM/EMPG 2023. Amsterdam, the Netherlands.
  • Hartmann, R. , Klauer, K. C., & Johannsen, L. (2019). Response time extended multinomial processing trees in R. 50th Meeting of the European Mathematical Psychology Group (EMPG), Heidelberg, Germany.
  • Hartmann, R. , Klauer, K. C., & Johannsen, L. (2019, June). Response time extended multinomial processing tree (RT-MPT) models in R. 34th IOPS/SMiP Summer Conference, Utrecht, the Netherlands.



  • Hartmann, R. (2018, March 11–14). Recovering Rasch model parameters when the true latent traits are not normally distributed: Comparison of Bayesian and likelihood-based approaches [Poster presentation]. 60. Tagung experimentell arbeitender Psychologen, Marburg, Germany.



  • Hartmann, R., & Meyer-Grant, C. G., & Klauer, K. C. (2021/2022). WienR: Derivatives of the First-Passage Time Density and Cumulative Distribution Function, and Random Sampling from the (Truncated) First-Passage Time Distribution [R package]. https://cran.r-project.org/package=WienR
  • Hartmann, R., & Klauer, K. C. (2020). rtmpt: Fitting RT-MPT Models [R package]. https://cran.r-project.org/package=rtmpt




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