Plotting functions for the Mixed Sparse Smooth Models (mssm) toolbox. mssm is a toolbox to estimate Generalized Additive Mixed Models (GAMMs), Generalized Additive Mixed Models of Location Scale and Shape (GAMMLSS), and even more general smooth models in the sense defined by Wood, Pya, & Säfken (2016). 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
Subsequently, mssmViz can be installed by running:
pip install mssmViz
Alternatively, you can clone the repository into a folder of your choice:
git clone https://github.com/JoKra1/mssm_tutorials.git
After navigating to the folder into which you cloned this repository, you can then 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.