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. The method is fully described in <doi:10.1093/bioinformatics/btx819>.

Version: 0.1.2
Depends: R (≥ 3.1.0), ggplot2
Imports: igraph (≥ 1.0), hot.deck, PoiClaClu, glmnet, methods, utils
Suggests: knitr, rmarkdown
Published: 2018-01-19
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
Vignettes: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Package source: RNAseqNet_0.1.2.tar.gz
Windows binaries: r-prerel: RNAseqNet_0.1.2.zip, r-release: RNAseqNet_0.1.2.zip, r-oldrel: RNAseqNet_0.1.2.zip
OS X binaries: r-prerel: RNAseqNet_0.1.2.tgz, r-release: RNAseqNet_0.1.2.tgz
Old sources: RNAseqNet archive

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