Are you studying people's perceptions of probabilities or other numerical quantities? distBuilder allows you to add distribution builders to your experiments with minimal programming knowledge.
This Python library implements Simonsohn, Simmons and Nelson's 'p-curve' analysis.
This Python library facilitates the estimation of moderation, mediation, and conditional processes. It replicates the features and syntax of Andrew F. Hayes' Process Macro, ensuring a seamless transition from one library to the other.
pysprite is a Python implementation of the SPRITE procedure. The original code on which this library is based was developed by James Heathers, Jordan Anaya, Tim van der Zee and Nicholas JL Brown.