ELMSurv: Extreme Learning Machine for Survival Analysis

First, we use the Buckley-James method to impute the data and extend the emerging extreme learning machine approach to survival analysis. Second, we present a kernel extreme learning machine Cox model regularized by an L_0-based broken adaptive ridge (BAR) penalization method. For a detailed information, see Hong Wang et al(2018) <DOI: 10.1007/s10489-017-1063-4>, Hong Wang and Gang Li(2019) <DOI:10.1002/sim.8090>.

Getting started

Package details

AuthorHong Wang
MaintainerHong Wang <wh@csu.edu.cn>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ELMSurv documentation built on May 27, 2019, 9:04 a.m.