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SEMgraph - Network Analysis and Causal Inference Through Structural Equation Modeling
Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions for importing, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework as outlined in the Supplementary Material of Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
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6.32 score 24 stars 1 dependents 29 scripts 292 downloadsSEMdeep - Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms
Training and validation of a custom (or data-driven) Structural Equation Models using Deep Neural Networks or Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
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4.18 score 10 stars 228 downloads