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HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Home Page: http://ski.clps.brown.edu/hddm_docs/

License: Other

Shell 0.01% Python 4.55% C 0.05% R 0.03% MATLAB 0.01% TeX 5.08% Makefile 0.03% HTML 0.02% PostScript 15.38% Batchfile 0.01% Jupyter Notebook 74.12% Cython 0.71% Dockerfile 0.02%

hddm's Introduction

  • 👋 Hi, I’m Yikang Liu, master student at School of Psychology, Nanjing Normal University. Now, I’m a memeber of Meta Self Lab.

  • 🧑‍💻 My main research are:

    • the ERP marker of evidence accumulation in decision-making, Centro-Parietal Positivity(CPP);

    • the impact of precistion on perception and perceptual decision-making.

  • 👀 I am Teaching Assistant of two course:

    • Psychological Statistics for undergraduates (2022.2 - Now);

    • Advanced Psychological Statistics for undergraduates (2022.9 - 2023.1).

  • 🌱 I’m currently using EEG analysis and computational model to solve my research.

hddm's People

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