Plotting functions for the Massive Smooth Models (mssm) toolbox. mssm is a toolbox to estimate Generalized Additive Mixed Models (GAMMs) and Generalized Additive Mixed Models of Location Scale and Shape (GAMMLSS). In addition, a tutorial for mssm is provided with this repository.
To install mssm simply run:
conda create -n mssm_env python=3.11
conda activate mssm_env
pip install mssm
pip install matplotlib # Needed for tutorials
Subsequently, clone this tutorial repository into a folder of your choice:
git clone https://github.com/JoKra1/mssm_tutorials.git
After selecting the conda environment you just created as kernel and navigating to the folder into which you cloned this repository, you can install mssmViz plot functions
by running
pip install -e .
The -e flag will ensure that any new changes you pull from this repository will be reflected when you use the plot functions.