kernDeepStackNet: Kernel Deep Stacking Networks

Contains functions for estimation and model selection of kernel deep stacking networks. The model selection includes direct optimization or model based alternatives with arbitrary loss functions.

Version: 2.0.1
Imports: methods, Rcpp, glmnet, mvtnorm, lhs, DiceOptim, DiceKriging, parallel, globalOptTests, GenSA, GA, matrixStats, caret
LinkingTo: Rcpp, RcppEigen
Suggests: pROC, mgcv, microbenchmark
Published: 2017-02-08
Author: Thomas Welchowski and Matthias Schmid
Maintainer: Thomas Welchowski <welchow at imbie.meb.uni-bonn.de>
License: GPL-3
NeedsCompilation: yes
CRAN checks: kernDeepStackNet results

Downloads:

Reference manual: kernDeepStackNet.pdf
Package source: kernDeepStackNet_2.0.1.tar.gz
Windows binaries: r-devel: kernDeepStackNet_2.0.1.zip, r-release: kernDeepStackNet_2.0.1.zip, r-oldrel: kernDeepStackNet_2.0.1.zip
OS X Mavericks binaries: r-release: kernDeepStackNet_2.0.1.tgz, r-oldrel: kernDeepStackNet_2.0.1.tgz
Old sources: kernDeepStackNet archive

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