PlotMarginals: Plot the marginal distributions

In Yam76/BayesNetBP: Bayesian Network Belief Propagation

Description

Plot the marginal distributions.

Usage

PlotMarginals(marginals, groups = NULL)

Arguments

marginals	the marginal distributions returned by Marginals for plotting
groups	names of the marginals to be shown on plots

Details

Plot the marginal distributions. Marginals of discrete variables are plotted as bar plots, while those of continuous variables as density plots.

Author(s)

Han Yu

References

Cowell, R. G. (2005). Local propagation in conditional Gaussian Bayesian networks. Journal of Machine Learning Research, 6(Sep), 1517-1550.

See Also

Marginals

Examples

data(toytree)
marg <- Marginals(toytree, c("Neu1", "Nr1i3", "chr1_42.65", "Spgl1"))
PlotMarginals(marginals=marg, groups=NULL)

Yam76/BayesNetBP documentation built on Aug. 23, 2019, 1:23 a.m.