Plotting code to visualize models estimated with the mssm toolbox.
Project description
mssmViz
Description
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. Documentation for mssmViz is hosted here.
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mssmviz-0.1.43.tar.gz.
File metadata
- Download URL: mssmviz-0.1.43.tar.gz
- Upload date:
- Size: 3.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db11455957779d2755ffbe8b127f0ea1d9377fde60ea95dff5343f8f3d436c75
|
|
| MD5 |
1ccc952ef24136608aa0d1c2e99f2256
|
|
| BLAKE2b-256 |
30a6c1519767b3c00f826383f8bb13c5996df3401e2aa9260a7b0c762cba3d63
|
Provenance
The following attestation bundles were made for mssmviz-0.1.43.tar.gz:
Publisher:
python-package.yml on JoKra1/mssm_tutorials
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mssmviz-0.1.43.tar.gz -
Subject digest:
db11455957779d2755ffbe8b127f0ea1d9377fde60ea95dff5343f8f3d436c75 - Sigstore transparency entry: 171882234
- Sigstore integration time:
-
Permalink:
JoKra1/mssm_tutorials@cbb4c3181dc48cf12138da32e5adac286369ca5f -
Branch / Tag:
refs/tags/v0.1.43 - Owner: https://github.com/JoKra1
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-package.yml@cbb4c3181dc48cf12138da32e5adac286369ca5f -
Trigger Event:
push
-
Statement type:
File details
Details for the file mssmViz-0.1.43-py3-none-any.whl.
File metadata
- Download URL: mssmViz-0.1.43-py3-none-any.whl
- Upload date:
- Size: 37.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
308cf2e1c3d0c804eae72b7233d8ae67b106c1cf496ae3d408f6629afb79a1ae
|
|
| MD5 |
d1fe12d7df5ebdf871de2bdeca23bb6c
|
|
| BLAKE2b-256 |
146ea59958112d1bb8e649a589fa7a45c623efb732a0a34c7dba654a028aa3e6
|
Provenance
The following attestation bundles were made for mssmViz-0.1.43-py3-none-any.whl:
Publisher:
python-package.yml on JoKra1/mssm_tutorials
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mssmviz-0.1.43-py3-none-any.whl -
Subject digest:
308cf2e1c3d0c804eae72b7233d8ae67b106c1cf496ae3d408f6629afb79a1ae - Sigstore transparency entry: 171882235
- Sigstore integration time:
-
Permalink:
JoKra1/mssm_tutorials@cbb4c3181dc48cf12138da32e5adac286369ca5f -
Branch / Tag:
refs/tags/v0.1.43 - Owner: https://github.com/JoKra1
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-package.yml@cbb4c3181dc48cf12138da32e5adac286369ca5f -
Trigger Event:
push
-
Statement type:
