icRSF (1.1)

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A Modified Random Survival Forest Algorithm.

http://cran.r-project.org/web/packages/icRSF

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.

Maintainer: Hui Xu
Author(s): Hui Xu and Raji Balasubramanian

License: GPL (>= 2)

Uses: icensmis, Rcpp

Released about 1 month ago.


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