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

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.

v0.23.7

0.23.7 - first official release of cpm

A fundamental scientific library for computational psychiatry.

For information about the features, see the website or the documentation.