Mix and Match are tools for experimental research, providing pseudorandomization and matching of experimental conditions.
Mix allows for pseudorandomization of experimental stimuli, while Match assists in matching conditions of factorial experiments. These tools are designed to improve the quality and power of experiments.
Explore the innovative work of Google DeepMind, where cutting-edge AI technologies are developed to address complex challenges across various domains. Discover our latest projects, including Gemini, and learn how we are shaping the future of artificial intelligence.
Discover Psychometrics.jl on GitHub, a Julia package that provides tools for psychometric data analysis. Contribute to the project, access documentation, and utilize our cutting-edge IRT models and psychometric methods.
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