SEMdeep
1.1.1Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-2713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-2112 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 13%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 75%
Downloads
Repository
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Repository practices
Checks run against github.com/barbaratarantino/semdeep on 2026-08-16.
No development-tooling practices detected in the upstream repository.
Dependencies
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Code & Tests
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2024-09-16
- Total releases
- 4 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0
- Download size
- 64 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
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