SEMdeep: Structural Equation Modeling with Deep Neural Network and Machine Learning

Training and validation of a custom (or data-driven) Structural Equation Models using layer-wise Deep Neural Networks or node-wise Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.

Version: 0.1.0
Depends: SEMgraph (≥ 1.2.2), igraph (≥ 2.0.0), R (≥ 4.0)
Imports: cito, corpcor, lavaan, mgcv, NeuralNetTools, nnet, ranger, shapr, torch, xgboost
Published: 2024-09-16
DOI: 10.32614/CRAN.package.SEMdeep
Author: Mario Grassi [aut], Barbara Tarantino [aut, cre]
Maintainer: Barbara Tarantino <barbara.tarantino01 at universitadipavia.it>
License: GPL (≥ 3)
URL: https://github.com/BarbaraTarantino/SEMdeep
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SEMdeep results

Documentation:

Reference manual: SEMdeep.pdf

Downloads:

Package source: SEMdeep_0.1.0.tar.gz
Windows binaries: r-devel: SEMdeep_0.1.0.zip, r-release: SEMdeep_0.1.0.zip, r-oldrel: SEMdeep_0.1.0.zip
macOS binaries: r-release (arm64): SEMdeep_0.1.0.tgz, r-oldrel (arm64): SEMdeep_0.1.0.tgz, r-release (x86_64): SEMdeep_0.1.0.tgz, r-oldrel (x86_64): SEMdeep_0.1.0.tgz

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