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iSFun  

Integrative Dimension Reduction Analysis for Multi-Source Data
View on CRAN: Click here


Download and install iSFun package within the R console
Install from CRAN:
install.packages("iSFun")

Install from Github:
library("remotes")
install_github("cran/iSFun")

Install by package version:
library("remotes")
install_version("iSFun", "1.1.0")



Attach the package and use:
library("iSFun")
Maintained by
Rui Ren
[Scholar Profile | Author Map]
First Published: 2021-10-04
Latest Update: 2022-01-03
Description:
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, . (2) Liang, W., Ma, S., Zhang, Q., and Zhu, T. (2021). Integrative sparse partial least squares. Statistics in Medicine, .
How to cite:
Rui Ren (2021). iSFun: Integrative Dimension Reduction Analysis for Multi-Source Data. R package version 1.1.0, https://cran.r-project.org/web/packages/iSFun. Accessed 04 May. 2025.
Previous versions and publish date:
0.1.0 (2021-10-04 10:30)
Other packages that cited iSFun R package
View iSFun citation profile
Other R packages that iSFun depends, imports, suggests or enhances
Complete documentation for iSFun
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