mcmcabn (version 0.6)

plot.mcmcabn: Function to plot mcmcabn class objects

Description

Generic function to plot mcmcabn objects.

Usage

# S3 method for mcmcabn
plot(x, max.score = FALSE, ...)

Arguments

x

object of class mcmcabn.

max.score

logical to plot the cumulative maximum network score.

...

arguments to be passed to methods.

Author

Gilles Kratzer

Details

The plot function for mcmcabn objects is based on ggplot2, ggpubr and cowplot packages. By default, it returns a trace plot with coloured points when MBR and REV methods have been used. It displays histograms on the right of the densities of (MC)^3, MBR and REV MCMC jumps respectively.

References

Plotting ability: H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.

Alboukadel Kassambara (2018). ggpubr: 'ggplot2' Based Publication Ready Plots. R package version 0.2. https://CRAN.R-project.org/package=ggpubr

Claus O. Wilke (2019). cowplot: Streamlined Plot Theme and Plot Annotations for 'ggplot2'. R package version 0.9.4. https://CRAN.R-project.org/package=cowplot

Data: Scutari, M. (2010). Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software, 35(3), 1-22. doi:http://dx.doi.org/10.18637/jss.v035.i03.

Examples

## Example from the asia dataset from Lauritzen and Spiegelhalter (1988)
## provided by Scutari (2010)

# plot the mcmc run
plot(mcmc.2par.asia)

# plot cumulative max score
plot(mcmc.2par.asia, max.score = TRUE)