ELMSurv: Extreme Learning Machine for Survival Analysis

We use the Buckley-James method to impute the data and extend the emerging Extreme Learning Machine approach to survival analysis. Currently, only right censored data are supported. For a detailed information, see the paper by Hong Wang, Jianxin Wang and Lifeng Zhou (2017) <https://github.com/whcsu/ELMSurv/blob/master/elmsurv-revised.pdf>, which will appear in Applied Intelligence <https://link.springer.com/journal/10489> soon.

Package details

AuthorHong Wang
MaintainerHong Wang <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/whcsu/ELMSurv
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ELMSurv package in your browser

Any scripts or data that you put into this service are public.

ELMSurv documentation built on Sept. 4, 2017, 1:02 a.m.