RNAseqNet: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation

Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter.

Version: 0.1.0
Depends: R (≥ 3.1.0), ggplot2
Imports: igraph (≥ 1.0), hot.deck, PoiClaClu, glmnet
Published: 2017-04-19
Author: Alyssa Imbert [aut], Nathalie Villa-Vialaneix [aut, cre]
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa-vialaneix at inra.fr>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: RNAseqNet citation info
Materials: README NEWS
CRAN checks: RNAseqNet results

Downloads:

Reference manual: RNAseqNet.pdf
Package source: RNAseqNet_0.1.0.tar.gz
Windows binaries: r-devel: RNAseqNet_0.1.0.zip, r-release: RNAseqNet_0.1.0.zip, r-oldrel: RNAseqNet_0.1.0.zip
OS X El Capitan binaries: r-release: RNAseqNet_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: RNAseqNet_0.1.0.tgz

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