View source: R/learning-algorithms.R

local discovery algorithms | R Documentation |

ARACNE and Chow-Liu learn simple graphs structures from data using pairwise mutual information coefficients.

```
aracne(x, whitelist = NULL, blacklist = NULL, mi = NULL, debug = FALSE)
chow.liu(x, whitelist = NULL, blacklist = NULL, mi = NULL, debug = FALSE)
```

`x` |
a data frame containing the variables in the model. |

`whitelist` |
a data frame with two columns (optionally labeled "from" and "to"), containing a set of arcs to be included in the graph. |

`blacklist` |
a data frame with two columns (optionally labeled "from" and "to"), containing a set of arcs not to be included in the graph. |

`mi` |
a character string, the estimator used for the pairwise (i.e.
unconditional) mutual information coefficients in the ARACNE and Chow-Liu
algorithms. Possible values are |

`debug` |
a boolean value. If |

An object of class `bn`

. See `bn-class`

for details.

Marco Scutari

constraint-based algorithms, score-based algorithms, hybrid algorithms.

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