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NetInt

1.0.1

Methods for Unweighted and Weighted Network Integration

0packages depend
5.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jessica GliozzoFirst published 2022-09-292 releasesCRAN page ↗

Implementation of network integration approaches comprising unweighted and weighted integration methods. Unweighted integration is performed considering the average, per-edge average, maximum and minimum of networks edges. Weighted integration takes into account a weight for each network during the fusion process, where the weights express the ''predictiveness strength'' of each network considering a specific predictive task. Weights can be learned using a machine learning algorithm able to associate the weights to the assessment of the accuracy of the learning algorithm trained on the network itself. The implemented methods can be applied to effectively integrate different biological networks modelling a wide range of problems in bioinformatics (e.g. disease gene prioritization, protein function prediction, drug repurposing, clinical outcome prediction).

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Health

CRAN checks
13OK
Slowest check: 40 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 134 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

5.8K
CRAN downloads in the past year
Rank #9,769 · ~16/day · ~481/mo
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12430 days
99590 days
5.8K1 year
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Also on97 r2u15 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Maintainer
Authors (1)
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2025-05-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2022-09-29
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-29
Total releases
2 / 4 yrs
License
GPL (>= 2) OSI
Download size
165 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NetInt")
Gliozzo, J., & Valentini, G. (2025). NetInt: Methods for Unweighted and Weighted Network Integration (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.NetInt

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 NetInt version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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