iSFun: Integrative Dimension Reduction Analysis for Multi-Source Data

An implementation of integrative dimension reduction analysis procedures for multi-source data, which provides integrative sparse partial least squares, integrative sparse principal component analysis, integrative sparse canonical correlation analysis and corresponding meta-analysis versions, etc. The work is built and improved upon the 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>.

Getting started

Package details

AuthorKuangnan Fang [aut], Rui Ren [aut, cre], Qingzhao Zhang [aut], Shuangge Ma [aut]
MaintainerRui Ren <xmurr@stu.xmu.edu.cn>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("iSFun")

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iSFun documentation built on Oct. 4, 2021, 9:06 a.m.