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iSFun

1.1.0Package record

Integrative Dimension Reduction Analysis for Multi-Source Data

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

Overview

About
Maintained by Rui RenCRAN page ↗

The implement of integrative analysis methods based on a two-part penalization, which realizes dimension reduction analysis and mining the heterogeneity and association of multiple studies with compatible designs. The software package provides the integrative analysis methods including integrative sparse principal component analysis (Fang et al., 2018), integrative sparse partial least squares (Liang et al., 2021) and integrative sparse canonical correlation analysis, as well as corresponding individual analysis and meta-analysis versions. References: (1) Fang, K., Fan, X., Zhang, Q., and Ma, S. (2018). Integrative sparse principal component analysis. Journal of Multivariate Analysis, doi:10.1016/j.jmva.2018.02.002. (2) Liang, W., Ma, S., Zhang, Q., and Zhu, T. (2021). Integrative sparse partial least squares. Statistics in Medicine, doi:10.1002/sim.8900.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
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CRAN check page ↗

Slowest check: 3.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • NOTE13 NOTE2026-05-02
  • ERROR11 NOTE, 1 ERROR2026-04-25
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
83%15 run in a plain check · 3 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
29%

Downloads

2.6K
CRAN downloads in the past year
Rank #19,287 · ~7/day · ~213/mo
Daily download trend is not available in this view yet.
24130 days
68790 days
2.6K1 year
Compare downloads with other packages →
Also on69 r2u7 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing iSFun adds 64 packages (35 with compiled code, 49 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
Imports (5)
caretgraphicsgrDevicesirlbastats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2021)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0Latest
    record
    2022-01-03 · current release · diff ↗
  • 0.1.0
    record
    2021-10-04
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-10-04
Total releases
2 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
1.3 MB / 4 files
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iSFun")
Ren, R., Fang, K., Ma, S., & Zhang, Q. (2022). iSFun: Integrative Dimension Reduction Analysis for Multi-Source Data (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.iSFun

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 iSFun version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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