CRAN/E | icRSF

icRSF

A Modified Random Survival Forest Algorithm

Installation

About

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.

Key Metrics

Version 1.2
Published 2018-02-27 2394 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks icRSF results

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Maintainer

Maintainer

Hui Xu

Authors

Hui Xu
Raji Balasubramanian

Material

Reference manual
Package source

In Views

Survival

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

icRSF archive

Imports

Rcpp ≥ 0.11.3
icensmis
parallel
stats

LinkingTo

Rcpp