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: | 0.1.1 |
Depends: | R (≥ 3.1.0), ggplot2 |
Imports: | igraph (≥ 1.0), hot.deck, PoiClaClu, glmnet, methods, utils |
Suggests: | BiocStyle, knitr, rmarkdown |
Published: | 2017-05-16 |
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 |
Reference manual: | RNAseqNet.pdf |
Vignettes: |
Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation |
Package source: | RNAseqNet_0.1.1.tar.gz |
Windows binaries: | r-devel: RNAseqNet_0.1.1.zip, r-release: RNAseqNet_0.1.1.zip, r-oldrel: RNAseqNet_0.1.1.zip |
OS X El Capitan binaries: | r-release: RNAseqNet_0.1.1.tgz |
OS X Mavericks binaries: | r-oldrel: RNAseqNet_0.1.1.tgz |
Old sources: | RNAseqNet archive |
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