Open Source BSD Psychometrics Projects

The aim of the JQuizAPI project is to define a simple API to construct test that may be used in diferent areas: - Surveys - Psychometric tests - Polls

This project aims to develop open source psychometric data analysis software, including estimation software for Rasch and Item Response Theory (IRT) models for both dichotomous and polytomous test items.

This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM.

This project aims at developing R-based Software for the analysis of typical neuroscientific data. These will include time resolved bootstrap tests and fitting and testing of psychometric functions.