diag: QTL network diagnostic routines

In qtlnet: Causal Inference of QTL Networks

Description

Various QTLnet diagnostic routines.

Usage

dist.qtlnet(qtlnet.object, min.prob = 0.9, method = "manhattan", cex = 5)
edgematch.qtlnet(qtlnet.object, min.prob = 0.9, method = "manhattan", cex = 5)
mds.qtlnet(qtlnet.object, min.prob = 0.9, method = "manhattan", cex = 5)
plotbic.qtlnet(x, ..., smooth = TRUE)

Arguments

qtlnet.object,x	Object of class qtlnet.
min.prob	Minimum probability to include edge in network.
method	Distance method to be used between columns of connection matrix. Used by dist. (Only used for mds.qtlnet.)
cex	Character expansion. (Only used for mds.qtlnet, scaled by range of BIC values.)
smooth	Use lowess smoother if TRUE.
...	Additional unused arguments.

Value

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.

Author(s)

Brian S. Yandell and Elias Chaibub Neto

References

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

See Also

mcmc.qtlnet

Examples

loci.qtlnet(Pscdbp.qtlnet)

qtlnet documentation built on April 14, 2020, 6:24 p.m.