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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