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nbfar: Negative Binomial Factor Regression Models ('nbfar')
We developed a negative binomial factor regression model to estimate structured (sparse) associations between a feature matrix X and overdispersed count data Y. With 'nbfar', microbiome count data Y can be used, for example, to associate host or environmental covariates with microbial abundances. Currently, two models are available: a) Negative Binomial reduced rank regression (NB-RRR), b) Negative Binomial co-sparse factor regression (NB-FAR). Please refer the manuscript 'Mishra, A. K., & Müller, C. L. (2021). Negative Binomial factor regression with application to microbiome data analysis. bioRxiv.' for more details.
Browse package contents
Package details |
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| Author | Aditya Mishra [aut, cre], Christian Mueller [aut] |
| Maintainer | Aditya Mishra <amishra@flatironinstitute.org> |
| License | GPL (>= 3.0) |
| Version | 0.1 |
| URL | https://github.com/amishra-stats/nbfar https://www.biorxiv.org/content/10.1101/2021.11.29.470304v1 |
| Package repository | View on CRAN |
| Installation |
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