BNN: Bayesian Neural Network for High-Dimensional Nonlinear Variable Selection

Perform Bayesian variable selection for high-dimensional nonlinear systems and also can be used to test nonlinearity for a general regression problem. The computation can be accelerated using multiple CPUs. You can refer to <doi:10.1080/01621459.2017.1409122> for more detail.

Version: 1.0.2
Depends: R (≥ 3.0.2)
Imports: mvtnorm
Published: 2018-02-02
Author: Bochao Jia [ctb, aut, cre, cph], Faming Liang [ctb], Robert Gentleman [cph], Ross Ihaka [cph], The R Core Team [cph]
Maintainer: Bochao Jia <jbc409 at ufl.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: BNN results

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Reference manual: BNN.pdf
Package source: BNN_1.0.2.tar.gz
Windows binaries: r-devel: BNN_1.0.2.zip, r-release: BNN_1.0.2.zip, r-oldrel: BNN_1.0.2.zip
OS X binaries: r-release: BNN_1.0.2.tgz, r-oldrel: BNN_1.0.2.tgz
Old sources: BNN archive

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