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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 |
| Reference manual: | qtlnet.pdf |
| Vignettes: |
QTLNET Overview |
| 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 suggests: | BayesNetBP |
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