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Sajad-Hussaini/mmer: Python Package for Multivariate Mixed Effects Regression

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Feb 2026Publisher:Zenodo
Authors: Sajad Hussaini;

doi: 10.5281/zenodo.18068839 , 10.5281/zenodo.18613537 , 10.5281/zenodo.18613623

Sajad-Hussaini/mmer: Python Package for Multivariate Mixed Effects Regression

Abstract

[1] Primary Reference A Multivariate Mixed-Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches DOI: [To be added] (Expected publication in the Journal of Earthquake Engineering and Structural Dynamics) Online Documentations: mmer.readthedocs.io

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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