HDDM is a python project aiming at fitting hierarchical drift diffusion model. But it is complex to install it on Windows. Here I record what I tried.
- Install Microsoft C++ Build Tools, but see this discussion. Remember to add C++ tools when installing.
- Install Miniconda 3.
- Git for Windows is also required for the GFW blocks Github. In this way, we need ssh protocol (see this documentation) access to Github.
The steps is generally the very similar to those on README of HDDM.
pip install cython pip install pymc==2.3.8 pip install git+https://github.com/hddm-devs/kabuki pip install git+https://github.com/hddm-devs/hddm # Optional pip install torch torchvision torchaudio
What I really do is:
- Create a new environment by
conda create -n ddm python=3.8. Note we have to use python 3.8 because pymc 2.3.8 does not support python 3.9 or higher, but HDDM uses pymc 2.3.8. - Activate
ddmenvironment and execute these lines:
conda install cython
conda install pymc==2.3.8 # pymc install from conda will work
pip install git+ssh://[email protected]/hddm-devs/kabuki # use ssh protocol to bypass GFW
pip install git+ssh://[email protected]/hddm-devs/hddmIt is done then.