Description Usage Arguments Details Value Author(s) See Also

Plot functions for the `bn.fit`

, `bn.fit.dnode`

and
`bn.fit.gnode`

classes, based on the lattice package.

1 2 3 4 5 6 7 8 9 | ```
## for Gaussian Bayesian networks.
bn.fit.qqplot(fitted, xlab = "Theoretical Quantiles",
ylab = "Sample Quantiles", main, ...)
bn.fit.histogram(fitted, density = TRUE, xlab = "Residuals",
ylab = ifelse(density, "Density", ""), main, ...)
bn.fit.xyplot(fitted, xlab = "Fitted values", ylab = "Residuals", main, ...)
## for discrete (multinomial and ordinal) Bayesian networks.
bn.fit.barchart(fitted, xlab = "Probabilities", ylab = "Levels", main, ...)
bn.fit.dotplot(fitted, xlab = "Probabilities", ylab = "Levels", main, ...)
``` |

`fitted` |
an object of class |

`xlab, ylab, main` |
the label of the x axis, of the y axis, and the plot title. |

`density` |
a boolean value. If |

`...` |
additional arguments to be passed to lattice functions. |

`bn.fit.qqplot()`

draws a quantile-quantile plot of the residuals.

`bn.fit.histogram()`

draws a histogram of the residuals, using either
absolute or relative frequencies.

`bn.fit.xyplot()`

plots the residuals versus the fitted values.

`bn.fit.barchart()`

and `bn.fit.dotplot`

plot the probabilities in
the conditional probability table associated with each node.

The lattice plot objects. Note that if auto-printing is turned off (for
example when the code is loaded with the `source`

function), the return
value must be printed explicitly for the plot to be displayed.

Marco Scutari

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.