nideconv is a Python module for fast and easy estimating of event-related signals.
Currently, nideconv can be installed using the GitHub repository:
I highly recommend to first make a dedicated Anaconda/Miniconda-environment:
conda create --name nideconv
Then activate that environment
conda activate nideconv
Install requirements
conda install numpy scikit-learn pystan
And install nideconv itself
pip install git+https://github.com/VU-Cog-Sci/nideconv
Note: Due to the dependency on
pystan
for Bayesian analyses, which is currently not supported for Windows on Python versions >= 3.8.16, you will be able to installnideconv
on Windows with Python versions > 3.8.16 but won't be able to use the Bayesian analysis functionality on higher Python versions (it will throw an error).
Whatever you do, it is very important that you have Cython and numpy before you install nideconv
, so maybe do
pip install cython numpy
And then install nideconv itself
pip install git+https://github.com/VU-Cog-Sci/nideconv
The latest documentation can be found on http://nideconv.readthedocs.io/en/latest/