``psp.models``
=================================

.. automodule:: psp.models
   :no-members:

They show how to write a batched ``model`` and ``discretize``; you do not need them to partition
a model of your own.

Prospect theory
---------------

.. automodule:: psp.models.prospect
   :members:
   :member-order: bysource

ALCOVE
------

.. automodule:: psp.models.alcove
   :members:
   :member-order: bysource

OSCAR
-----

.. automodule:: psp.models.oscar
   :members:
   :member-order: bysource

Voronoi cells
-------------

.. automodule:: psp.models.voronoi
   :members:
   :member-order: bysource

References
----------

Dome, L., & Wills, A. J. (2025). g-Distance: On the comparison of model and human heterogeneity.
*Psychological Review, 132*\(3), 632–655. https://doi.org/10.1037/rev0000550

Dome, L., & Wills, A. J. (2026). Errorless Irrationality: A unified computational account of the
inverse base-rate effect across predictive, observational, and unsupervised procedures
(arXiv:2608.06149). arXiv. https://doi.org/10.48550/arXiv.2608.06149

Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk.
*Econometrica, 47*\(2), 263–292. https://doi.org/10.2307/1914185

Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning.
*Psychological Review, 99*\(1), 22–44. https://doi.org/10.1037/0033-295X.99.1.22

Pitt, M. A., Kim, W., Navarro, D. J., & Myung, J. I. (2006). Global model analysis by parameter
space partitioning. *Psychological Review, 113*\(1), 57–83.
https://doi.org/10.1037/0033-295X.113.1.57

Shepard, R. N., Hovland, C. I., & Jenkins, H. M. (1961). Learning and memorization of
classifications. *Psychological Monographs: General and Applied, 75*\(13), 1–42.
https://doi.org/10.1037/h0093825

Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of
uncertainty. *Journal of Risk and Uncertainty, 5*\(4), 297–323. https://doi.org/10.1007/BF00122574

Wills, A. J., Dome, L., Edmunds, C., Honke, G., Inkster, A., Schlegelmilch, R., & Spicer, S.
(2025). catlearn: Formal Psychological Models of Categorization and Learning. R package version
1.1. https://CRAN.R-project.org/package=catlearn