mssmViz 0.1.dev1

Plotting code to visualize models estimated with the mssm toolbox.

mssmViz

Description

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.

Installation

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.