netSEM
0.7.0Network Structural Equation Modeling
Overview
The network structural equation modeling conducts a network statistical analysis on a data frame of coincident observations of multiple continuous variables [1]. It builds a pathway model by exploring a pool of domain knowledge guided candidate statistical relationships between each of the variable pairs, selecting the 'best fit' on the basis of a specific criteria such as adjusted r-squared value. This material is based upon work supported by the U.S. National Science Foundation Award EEC-2052776 and EEC-2052662 for the MDS-Rely IUCRC Center, under the NSF Solicitation: NSF 20-570 Industry-University Cooperative Research Centers Program [1] Bruckman, Laura S., Nicholas R. Wheeler, Junheng Ma, Ethan Wang, Carl K. Wang, Ivan Chou, Jiayang Sun, and Roger H. French. (2013) doi:10.1109/ACCESS.2013.2267611.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1011 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 78%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 2.0 median / 153 max
- Test cases
- 25 / 0.03 per code line
Test coverage
Line coverage
29%
Expression
51.1%
Tests / Examples
28.9% / 0% ex
Functions
26 4 exported
Complexity
16 avg / 153 max
Call network
26 nodes / 24 edges
Call graph
Open call graph →Lowest coverage
26 functions| Function | Cyclo | Coverage |
|---|---|---|
| var_selection exp | 2 | 0% |
| netSEM_InvSqRt2 | 2 | 0% |
| netSEM_SqRt2 | 2 | 0% |
| netSEM_log2 | 2 | 0% |
| netSEM_nls2 | 2 | 0% |
| netSEM_quadNoLinear2 | 1 | 0% |
Datasets
People & History
Show 8 more contributors
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.7.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.6.22023-09-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.6.12022-11-02 · diff ↗
- 0.6.02022-08-29 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.5.12018-11-28 · diff ↗
- 0.5.02018-06-12
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-06-12
- Total releases
- 6 / 8 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 21 KB / 7 files
- Download size
- 3.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet