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qtlnet: Causal Inference of QTL Networks

Functions to Simultaneously Infer Causal Graphs and Genetic Architecture. Includes acyclic and cyclic graphs for data from an experimental cross with a modest number (<10) of phenotypes driven by a few genetic loci (QTL). Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Annals of Applied Statistics 4: 320-339. <doi:10.1214/09-AOAS288>.

Version: 1.5.4
Depends: qtl, igraph, sem, graph, pcalg, R (≥ 2.10)
Published: 2020-04-13
DOI: 10.32614/CRAN.package.qtlnet
Author: Elias Chaibub Neto and Brian S. yandell
Maintainer: Brian S. Yandell <brian.yandell at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.wisc.edu/~yandell/sysgen
NeedsCompilation: no
In views: CausalInference
CRAN checks: qtlnet results

Documentation:

Reference manual: qtlnet.pdf
Vignettes: QTLNET Overview

Downloads:

Package source: qtlnet_1.5.4.tar.gz
Windows binaries: r-devel: qtlnet_1.5.4.zip, r-release: qtlnet_1.5.4.zip, r-oldrel: qtlnet_1.5.4.zip
macOS binaries: r-release (arm64): qtlnet_1.5.4.tgz, r-oldrel (arm64): qtlnet_1.5.4.tgz, r-release (x86_64): qtlnet_1.5.4.tgz, r-oldrel (x86_64): qtlnet_1.5.4.tgz
Old sources: qtlnet archive

Reverse dependencies:

Reverse suggests: BayesNetBP

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qtlnet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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