whcsu/rotsf: Survival Forest with PCA and Partial Least Squares

We investigate the plausibility of extending a rotation forest, originally proposed for classification purpose, to survival analysis. Currently, PCA(Principal components analysis) , SPLS(Sparse partial least squares) rotation are supported. For a detailed information, see the papers by Zhou L, Xu Q, Wang H. (2015) Rotation survival forest for right censored data. <https://doi.org/10.7717/peerj.1009> and Zhou L, Xu Q, Wang H. (2016), Random rotation survival forest for high dimensional censored data. <https://doi.org/10.1186/s40064-016-3113-5>.

Getting started

Package details

AuthorHong Wang
MaintainerHong Wang <wh@csu.edu.cn>
LicenseGPL (>= 2)
Version0.8
URL https://github.com/whcsu/rotsf
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("whcsu/rotsf")
whcsu/rotsf documentation built on Dec. 4, 2019, 2:10 p.m.