netReg is a package for generalized linear regression that includes prior graphs in the models objective function.
netReg uses Armadillo and TensorFlow for fast matrix computations and optimization.
Simon Dirmeier | firstname.lastname@example.org
Dirmeier, Simon and Fuchs, Christiane and Mueller, Nikola S and Theis,
Fabian J (2018),
netReg: Network-regularized linear models for biological association
Abadi, Martín et al. (2016), Tensorflow: A system for large-scale machine learning.
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)
Powell M.J.D. (2009), The BOBYQA algorithm for bound constrained optimization without derivatives.
http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf Eddelbuettel, Dirk and Sanderson, Conrad (2014), RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Computational Statistics & Data Analysis
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