Package: ELMSurv
Type: Package
Title: Extreme Learning Machine for Survival Analysis
Version: 0.4
Date: 2017-08-19
Author: Hong Wang
Maintainer: Hong Wang <wh@csu.edu.cn>
Description: 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.
URL: https://github.com/whcsu/ELMSurv
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4),survival
LinkingTo: Rcpp,RcppArmadillo
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-09-03 17:20:31 UTC; wh
Repository: CRAN
Date/Publication: 2017-09-03 17:36:53 UTC
