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SEMdeep

1.1.1Package record

Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.1.1
  • Bugs in the SEMml() function were fixed to address the update of xboost v3.1.2.1.
  • Added new function trainingReport(). Display a (r,c) panel history plot from SEMdnn()

output, for each MLP model (if algo="nodewise or "layerwise") and bootstrap sample

(if nboot > 0), in order to check the model's learning process.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • NOTE12 OK, 1 NOTE2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-27
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-21
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMEYes · 241 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.1Citation fileNo
Help pages
16
Examples that run
13%2 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
75%

Downloads

2.6K
CRAN downloads in the past year
Rank #19,073 · ~7/day · ~221/mo
Daily download trend is not available in this view yet.
23030 days
68490 days
2.6K1 year
Compare downloads with other packages →
Also on91 r2u

Repository

13Stars
5Forks
0Open issues
0Open PRs
0Releases
28Commits
2Commit identities
28 commits · Last activity 2025-12-18 · +8.3% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
69

Stars over time

2025-07-21 · 72026-10-13 · 13
PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/barbaratarantino/semdeep on 2026-10-18.

Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-12-18

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing SEMdeep adds 94 packages (48 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 5 more not on CRAN are not measured.

Depends (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Maintainer since 0.1.0 (2024)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.1Latest
    record
    2025-12-11 · current release · diff ↗ ·
    added 1 export
    trainingReport
  • 1.1.0
    record
    2025-11-10 · diff ↗ ·
    added 1 export
    getLOCO
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    record
    2025-01-23 · diff ↗ ·
    removed 2 exports
    benchmark, getInputPvalue
    added 4 exports
    classificationReport, crossValidation, getSignificanceTest, getVariableImportance
  • 0.1.0
    record
    2024-09-16
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-16
Total releases
4 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0
Download size
64 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SEMdeep")
Tarantino, B., & Grassi, M. (2025). SEMdeep: Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SEMdeep

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SEMdeep version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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