icRSF: A Modified Random Survival Forest Algorithm
Version 1.1

Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.

Getting started

Package details

AuthorHui Xu and Raji Balasubramanian
Date of publication2017-05-26 06:01:41 UTC
MaintainerHui Xu <[email protected]>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("icRSF")

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icRSF documentation built on May 30, 2017, 12:07 a.m.