causalfragility-lab/MultiSpline-Python: MultiSpline Python v0.1.1 — Development Release

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: causalfragility-lab
DOI: 10.5281/zenodo.18865466
Cited by: 0

Abstract

MultiSpline Python v0.1.1 MultiSpline provides nonlinear multilevel spline modeling for Python using natural cubic splines and mixed-effects estimation. Install pip install git+https://github.com/causalfragility-lab/MultiSpline-Python.git Features Natural cubic spline basis via patsy Mixed-effects estimation via statsmodels ICC computation Grid-based visualization autoknots option predict(grid=True) method Unit tests included Citation Hait, Subir. 2026. MultiSpline for Python: Nonlinear multilevel spline modeling. https://github.com/causalfragility-lab/MultiSpline-Python

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Computational Physics and Python Applications Spatial and Panel Data Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN