MInt: Learn Direct Interaction Networks

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

Downloads:

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
OS X Mavericks binaries: r-release: MInt_1.0.1.tgz, r-oldrel: MInt_1.0.1.tgz

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