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: | 1.0.0 |
Depends: | SEMgraph (≥ 1.2.2), igraph (≥ 2.0.0), R (≥ 4.0) |
Imports: | cito, corpcor, doSNOW, foreach, kernelshap, lavaan, glmnet, NeuralNetTools, nnet, progress, ranger, rpart, torch, xgboost |
Published: | 2025-01-23 |
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 |
Reference manual: | SEMdeep.pdf |
Package source: | SEMdeep_1.0.0.tar.gz |
Windows binaries: | r-devel: SEMdeep_1.0.0.zip, r-release: SEMdeep_1.0.0.zip, r-oldrel: SEMdeep_1.0.0.zip |
macOS binaries: | r-devel (arm64): SEMdeep_1.0.0.tgz, r-release (arm64): SEMdeep_1.0.0.tgz, r-oldrel (arm64): SEMdeep_1.0.0.tgz, r-devel (x86_64): SEMdeep_1.0.0.tgz, r-release (x86_64): SEMdeep_1.0.0.tgz, r-oldrel (x86_64): SEMdeep_1.0.0.tgz |
Old sources: | SEMdeep archive |
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