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Plotting code to visualize models estimated with the mssm toolbox.

Project description

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

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.

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