i) install Anaconda3 ii) create enviornment with " conda create --name normative_modeling " iii) activate environment by " source activate normative_modeling " iv) install the required packages below with " conda install " or " pip install "
conda install pip " " conda install spyder " " conda install pandas " " conda install scipy " " pip install nibabel " " pip install sklearn " " pip install torch " " pip install glob3
v) download/clone nispat from https://github.com/amarquand/nispat/ vi) unzip nispat into download folder vii) change dir to download folder using the terminal and execute " pip install nispat-master/ "
Make sure conda is available on the system. Otherwise install it first from https://www.anaconda.com/
conda --version
Create a conda environment in a shared location
conda create -y python==3.7.7 numpy mkl blas --prefix=/shared/conda/normative_modeling/1.2.2
Activate the conda environment
conda activate /shared/onda/cnormative_modeling/1.2.2
Install other dependencies
conda install -y spyder pandas scipy
Install pip dependencies
pip --no-cache-dir install nibabel sklearn torch glob3
Clone the repo
git clone https://github.com/amarquand/nispat.git
install nispat in the conda environment
cd nispat/
python3 setup.py install
Test
python -c "import nispat as pk;print(pk.__file__)"