summary: summary of model average network and posterior table

In qtlnet: Causal Inference of QTL Networks

Description

Print and summary methods for qtlnet objects.

Usage

## S3 method for class 'qtlnet'
print(x, cutoff = 0.01, digits = 3, ...)
## S3 method for class 'qtlnet'
summary(object, parent.patterns = FALSE, ...)
## S3 method for class 'summary.qtlnet'
print(x, ...)
check.qtlnet(object, min.prob = 0.9, correct = TRUE, verbose = FALSE, ...)

Arguments

x,object	Object of class qtlnet.
cutoff	Frequency cutoff for model patterns to be displayed. Always shows at least the most common pattern.
digits	Number of digits to display for posterior probabilities on directed edges.
parent.patterns	Include summary of parent patterns if TRUE.
min.prob	Set the minimum posterior probability for inclusion of an edge.
correct	Correct min.prob if TRUE.
verbose	Print forbidden edges in model-averaged solution if TRUE.
...	Other hidden arguments. These include min.prob, which can also be passed to other igraph.qtlnet and plot.qtlnet routines.

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

data(Pscdbp.qtlnet)
print(Pscdbp.qtlnet)
summary(Pscdbp.qtlnet)

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