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SEMdeep: Structural Equation Modeling with Deep Neural Network andMachine Learning Algorithms

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

Version:1.1.1
Depends:SEMgraph (≥ 1.2.2),igraph (≥ 2.0.0), R (≥ 4.0)
Imports:coro,corpcor,kernelshap,lavaan,NeuralNetTools,parabar,progress,ranger,rpart,torch,xgboost
Published:2025-12-11
DOI:10.32614/CRAN.package.SEMdeep
Author:Mario Grassi [aut], Barbara Tarantino [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.html ,SEMdeep.pdf

Downloads:

Package source: SEMdeep_1.1.1.tar.gz
Windows binaries: r-devel:SEMdeep_1.1.1.zip, r-release:SEMdeep_1.1.1.zip, r-oldrel:SEMdeep_1.1.1.zip
macOS binaries: r-release (arm64):SEMdeep_1.1.1.tgz, r-oldrel (arm64):SEMdeep_1.1.1.tgz, r-release (x86_64):SEMdeep_1.1.1.tgz, r-oldrel (x86_64):SEMdeep_1.1.1.tgz
Old sources: SEMdeep archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SEMdeepto link to this page.


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