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ELMSurv (version 0.6)

Extreme Learning Machine for Survival Analysis

Description

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) , Hong Wang and Gang Li(2019) .

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Version

Install

install.packages('ELMSurv')

Monthly Downloads

6

Version

0.6

License

GPL (>= 2)

Maintainer

Hong Wang

Last Published

May 27th, 2019

Functions in ELMSurv (0.6)

predict.ELMBJ

ELMBJ
CoxBAR

CoxBAR
ELMBJ

ELMBJ
ELMBJEN

ELMBJEN
ELMCoxBAR

ELMCoxBAR
predict.ELMBJEN

predict.ELMBJEN
cv.ELMCoxBAR

Cross-Validation for ELMCoxBAR
predict.ELMCoxBAR

Predict.ELMCoxBAR