Package: iSFun
Type: Package
Title: Integrative Dimension Reduction Analysis for Multi-Source Data
Version: 0.1.0
Authors@R: c(person("Kuangnan", "Fang", role=c("aut")),
             person("Rui", "Ren", role=c("aut", "cre"),
             email = "xmurr@stu.xmu.edu.cn"),
             person("Qingzhao", "Zhang", role=c("aut")),
             person("Shuangge", "Ma", role=c("aut")))
Maintainer: Rui Ren <xmurr@stu.xmu.edu.cn>
Description: 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>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: caret, graphics, grDevices, irlba, stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2021-10-03 02:50:12 UTC; renrui
Author: Kuangnan Fang [aut],
  Rui Ren [aut, cre],
  Qingzhao Zhang [aut],
  Shuangge Ma [aut]
Repository: CRAN
Date/Publication: 2021-10-04 08:30:06 UTC
