Learns direct microbe-microbe interaction networks using a Poisson multivariate-normal hierarchical model with an L1 penalized precision matrix. Optimization is carried out using an iterative conditional modes algorithm.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.1.2), glasso (≥ 1.8), trust (≥ 0.1-6), MASS (≥ 7.3-35), testthat (≥ 0.9.1) |
| Suggests: | knitr |
| Published: | 2015-05-18 |
| Author: | Surojit Biswas, Meredith McDonald, Derek S. Lundberg, Jeffery L. Dangl, Vladimir Jojic |
| Maintainer: | Surojit Biswas <surojitbiswas at g.harvard.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | MInt results |
| Reference manual: | MInt.pdf |
| Vignettes: |
MInt - A package for learning direct interaction networks. |
| Package source: | MInt_1.0.1.tar.gz |
| Windows binaries: | r-devel: MInt_1.0.1.zip, r-release: MInt_1.0.1.zip, r-oldrel: MInt_1.0.1.zip |
| macOS binaries: | r-release: MInt_1.0.1.tgz, r-oldrel: MInt_1.0.1.tgz |
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