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glmnetLRC:  Lasso and Elastic-Net Logistic Regression Classification with an Arbitrary Loss Function

Copyright 2016, Battelle Memorial Institute
All rights reserved.

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permission to any person or entity lawfully obtaining a copy of this 
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* Redistributions of source code must retain the above copyright notice, 
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* Redistributions of the software in any form, and publications based on 
work performed using the software should include at least one of the following 
citations as a reference:

Sego LH, Venzin AM, Ramey JA. 2016. glmnetLRC:  Lasso and Elastic-Net Logistic 
Regression Classification (LRC) with an arbitrary loss function in R. Pacific 
Northwest National Laboratory. http://pnnl.github.io/glmnetLRC.

Amidan BG, Orton DJ, LaMarche BL, Monroe ME, Moore RJ,
Venzin AM, Smith RD, Sego LH, Tardiff MF, Payne SH. 2014.
Signatures for Mass Spectrometry Data Quality.
Journal of Proteome Research. 13(4), 2215-2222.
http://pubs.acs.org/doi/abs/10.1021/pr401143e.

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