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
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
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-release (x86_64): qtlnet_1.5.4.tgz, r-oldrel: qtlnet_1.5.4.tgz
Old sources: qtlnet archive

Reverse dependencies:

Reverse suggests: BayesNetBP

Linking:

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