Covariate-varying networks: R code used for simulation and case studies

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Authors

Louis Dijkstra · Leibniz Institute for Prevention Research and Epidemiology - BIPS

Arne Godt · Leibniz Institute for Prevention Research and Epidemiology - BIPS

Ronja Foraita · Leibniz Institute for Prevention Research and Epidemiology - BIPS

Abstract

Covariate-varying networks: R code used for simulation and case studies The reposority contains all R packages that were used for the simulationstudy and case studies in Dijkstra L, Godt A, Foraita RInferring High-Dimensional Dynamic Networks Changing with Multiple Covariates The R packages 'CVN' can be installed from here: https://bips-hb.r-universe.dev/CVN or https://github.com/bips-hb/CVN

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Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19232261

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Covariate-varying networks: R code used for simulation and case studies

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Abstract

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Publication Details