Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
Overview
A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" doi:10.1093/bioinformatics/btz226.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK6 OK2026-04-29
Documentation
- Help pages
- 20 (2 internal)
- Examples that run
- 77%10 run in a plain check (1 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 81%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 5%
Downloads
Repository
- 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
- 0
Stars over time
Forks over time
Releases over time
Issues over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/kechrislab/smccnet on 2026-10-11.
GitHub Pages site last deployed 2026-05-08 · The repository has a site deploy workflow
pkgdown site last built 2026-05-08
Dependencies
Installing SmCCNet adds 40 packages (18 with compiled code, 39 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, igraph 4.8 MB.
Code & Tests
Datasets
People & History
Previously maintained by Weixuan Liu (2.0.0 to 2.0.3) and W. Jenny Shi (0.99.0).
Pick two releases to compare their code metrics.
- 2.0.7Latest
- unarchivedReturned to CRAN2026-04-28
- 2.0.62026-04-28 · diff ↗
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-06-12issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.32024-04-16 · diff ↗
- 2.0.22024-01-13 · diff ↗
- 2.0.12023-10-03 · diff ↗
- 2.0.02023-10-02 · diff ↗ ·
removed 3 exports
getMultiOmicsModules, getRobustPseudoWeights, plotMultiOmicsNetworkadded 15 exports
%>%, aggregateCVSingle, classifierEval, dataPreprocess, fastAutoSmCCNet, getCanCorMulti, getCanWeightsMulti, getOmicsModules, getRobustWeightsMulti, getRobustWeightsMultiBinary, getRobustWeightsSingle, getRobustWeightsSingleBinary, networkPruning, scalingFactorInput, summarizeNetSHy - RR 4.3.0 released · 2023-04-21
- 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
Show 2 earlier eventsHide 2 earlier events
- 0.99.02019-03-04
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-04
- Total releases
- 7 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 1.4 MB / 2 files
- Download size
- 6.5 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SmCCNet")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.
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