For each variable, computes the proportion of the samples in which this variable is in the signal group (Group 1).
Plots the top `nvars`

variables in decreasing order of signal proportion.

1 2 3 | ```
signal_var_proportion(sbfc_result, nvars = 10, samples = F,
labels = paste0("X", 1:ncol(sbfc_result$parents)), label_size = 1,
rotate_labels = F)
``` |

`sbfc_result` |
An object of class |

`nvars` |
Number of top signal variables to include in the plot (default=10). |

`samples` |
Calculate signal variable proportion based on sampled MCMC graphs after burn-in and thinning, rather than graphs from all iterations (default=FALSE). |

`labels` |
A vector of node labels (default= |

`label_size` |
Size of variable labels on the X-axis (default=1). |

`rotate_labels` |
Rotate x-axis labels by 90 degrees to make them vertical (default=FALSE) |

Signal proportion for the top `nvars`

variables in decreasing order.

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