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.
- Version0.1.5
- R version≥ 3.1.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- RNAseqNet citation info
- Last release02/20/2024
Documentation
Team
Nathalie Vialaneix
MaintainerShow author detailsAlyssa Imbert
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Insights
Last 30 days
This package has been downloaded 176 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,800 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 37 downloads.
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Dependencies
- Depends1 package
- Imports4 packages
- Suggests2 packages