Package: iSFun 1.1.0
Rui Ren
iSFun: Integrative Dimension Reduction Analysis for Multi-Source Data
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>.
Authors:
iSFun_1.1.0.tar.gz
iSFun_1.1.0.tar.gz(r-4.5-noble)iSFun_1.1.0.tar.gz(r-4.4-noble)
iSFun_1.1.0.tgz(r-4.4-emscripten)iSFun_1.1.0.tgz(r-4.3-emscripten)
iSFun.pdf |iSFun.html✨
iSFun/json (API)
# Install 'iSFun' in R: |
install.packages('iSFun', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simData.cca - Example data for method iscca
- simData.pca - Example data for method ispca
- simData.pls - Example data for method ispls
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:a6b9b2594f. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-linux | NOTE | Oct 16 2024 |
Exports:isccaiscca.cviscca.plotispcaispca.cvispca.plotisplsispls.cvispls.plotmeta.sccameta.spcameta.splspreview.ccapreview.pcapreview.plssccaspcaspls
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredirlbaisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr