Description Usage Arguments Value Author(s) References See Also Examples
Determines QTL that affect each phenotype conditional on the model-averaged network and on covariates.
1 2 | loci.qtlnet(qtlnet.object, chr.pos = TRUE, merge.qtl = 10, ...)
est.qtlnet(qtlnet.object, ..., verbose = TRUE)
|
qtlnet.object |
Object of class |
chr.pos |
Include chromsome and position if |
merge.qtl |
Merge QTL within |
... |
Additional unused arguments. |
verbose |
verbose output if |
List containing, for each phenotype in the network, a character vector
of the QTL names as chr@pos
, or pseudomarker name if
chr.pos
is FALSE
.
Brian S. Yandell and Elias Chaibub Neto
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. Ann Appl Statist 4: 320-339. http://www.stat.wisc.edu/~yandell/doc/2010/92.AnnApplStat.pdf
1 |
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