Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/rjour/MorrisHLLK20
%A Morris, Emily
%A He, Kevin
%A Li, Yanming
%A Li, Yi
%A Kang, Jian
%D 2020
%J R J.
%K dblp
%N 1
%P 105
%T SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting.
%U http://dblp.uni-trier.de/db/journals/rjour/rjour12.html#MorrisHLLK20
%V 12
@article{journals/rjour/MorrisHLLK20,
added-at = {2021-01-05T00:00:00.000+0100},
author = {Morris, Emily and He, Kevin and Li, Yanming and Li, Yi and Kang, Jian},
biburl = {https://www.bibsonomy.org/bibtex/213f056b7e0fa9a4ff8f3ac8408de7666/dblp},
ee = {https://doi.org/10.32614/rj-2020-018},
interhash = {cd13b10d34b72744c3e5758a999aca7d},
intrahash = {13f056b7e0fa9a4ff8f3ac8408de7666},
journal = {R J.},
keywords = {dblp},
number = 1,
pages = 105,
timestamp = {2024-04-08T12:19:05.000+0200},
title = {SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting.},
url = {http://dblp.uni-trier.de/db/journals/rjour/rjour12.html#MorrisHLLK20},
volume = 12,
year = 2020
}