infer.tree {CRF} | R Documentation |

## Inference method for tree- and forest-structured graphs

### Description

Computing the partition function and marginal probabilities

### Usage

```
infer.tree(crf)
```

### Arguments

`crf` |
The CRF |

### Details

Exact inference for tree- and forest-structured graphs with sum-product belief propagation

### Value

This function will return a list with components:

`node.bel` |
Node belief. It is a matrix with |

`edge.bel` |
Edge belief. It is a list of matrices. The size of list is |

`logZ` |
The logarithmic value of CRF normalization factor Z. |

### Examples

```
library(CRF)
data(Small)
i <- infer.tree(Small$crf)
```

[Package

*CRF*version 0.4-3 Index]