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MultiSpline: Nonlinear Multilevel Spline Modeling Across R, Python, and Stata

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  • Hait, Subir

Abstract

We introduce MultiSpline, a cross-platform software suite for nonlinear multilevel spline modeling implemented in R, Python, and Stata. Nonlinear relationships between continuous predictors and outcomes are common in clustered and longitudinal data from education, health, and economics research. Existing tools in each language provide the building blocks for such analyses but typically require researchers to manually combine spline basis construction, mixed-effects estimation, intraclass correlation coefficient (ICC) computation, prediction, and visualization across multiple packages and steps. MultiSpline unifies this workflow into a single interface in each language, enabling researchers to fit, summarize, predict from, and visualize nonlinear multilevel models in only a few lines of code. All implementations are freely available under the MIT license via CRAN (R, under review), PyPI (Python), and SSC (Stata), with source code on GitHub.

Suggested Citation

  • Hait, Subir, 2026. "MultiSpline: Nonlinear Multilevel Spline Modeling Across R, Python, and Stata," SocArXiv xe4kt_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:xe4kt_v1
    DOI: 10.31219/osf.io/xe4kt_v1
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