sup.r.jive-package: sup.r.jive: Supervised JIVE methods
| sup.r.jive-package | R Documentation |
sup.r.jive: Supervised JIVE methods
Description
The sup.r.jive package performs supervised joint and individual explained (JIVE) methods including JIVE.predict, supervised JIVE (sJIVE), and sparse exponential family JIVE (sesJIVE). The package also includes three plotting functions for visualizing the variance attributed to each source and its effect with the outcome.
Author(s)
Elise F. Palzer, Sandra E. Safo, and Eric F. Lock
References
Kaplan, A, and EF Lock. 2017. "Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival." Cancer Informatics 16:1-11.
Lock, EF, KA Hoadley, JS Marron, and AB Nobel. 2013. “Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Data Types.” The Annals of Applied Statistics 7 (1): 523–42.
Palzer, EF, C Wendt, R Bowler, CP Hersh, SE Safo, and EF Lock. 2021. "sJIVE: Supervised Joint and Individual Variation Explained." Pre-print on arXiv.
