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
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:

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