Skip to content

v0.23.18 - New Prospect Models, improved parameter management, and a few bug fixes

Latest
Latest

Choose a tag to compare

View all tags
@lenarddome lenarddome released this 03 Sep 08:00
· 42 commits to main since this release
0.23.18
c6a39bb

Install

You can install the new release straight from the PyPi repository:

pip install cpm-toolbox

Added

  • Add input validation and error handling in all cpm.optimisation.minimise methods
  • Add test units for cpm.optimisation.minimise
  • Added three models based on Prospect Theory: cpm.applications.decision_making.PTSM, cpm.applications.decision_making.PTSM1992, and cpm.applications.decision_making.PTSM2025 with the help of @BenJonathanWagner
  • The cpm.generators.Parameters class now supports None-type parameters, allowing for more flexible model configurations
  • The cpm.generators.Parameters class now supports the use of user-defined functions as attributes in addition to freely-varying parameters
  • Add cpm.datasets.load_risky_choices function to load built-in risky choices dataset from @BenJonathanWagner and @tuhauser
  • Expanded cpm.models.activation.ProspectUtility class to include additional parameters for more flexible modeling of decision-making under risk, more closely approximating Tversky & Kahneman's (1992) version of Prospect Theory

Fixed

  • Fix simulation_export function to handle DataFrame output correctly
  • Fix detailed_pandas_compiler function to support new numpy versions
  • Fix probability adjustements in cpm.optimisation.minimise.LogLikelihood method to ensure correct parameter estimates pointed out by @BenJonathanWagner and @tuhauser
  • Resolved a bug in the detailed_pandas_compiler function to handle various data types and ensure proper DataFrame formatting in cpm/core/data.py.

Contributors

BenJonathanWagner and tuhauser
Assets 4
Loading