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

Documentation:

Reference manual:	MInt.pdf
Vignettes:	MInt - A package for learning direct interaction networks.

Downloads:

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 (arm64): MInt_1.0.1.tgz, r-release (x86_64): MInt_1.0.1.tgz, r-oldrel: MInt_1.0.1.tgz

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