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 |
| 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 [issues need fixing before 2025-02-07] |