calculateBinomialP_Interaction {binomialRF} | R Documentation |

## calculate the probability, p, to conduct a binomial exact test

### Description

`calculateBinomialP_Interaction`

returns a probability of randomly selecting a feature as the root node in a decision tree. This is a generic function that is called internally in `binomialRF`

but that may also be called directly if needed. The arguments `...`

should be, L= Total number of features in X, and percent_features= what percent of L is subsampled in the `randomForest`

call.

### Usage

```
calculateBinomialP_Interaction(L, percent_features, K = 2)
```

### Arguments

`L` |
the total number of features in X. Should be a positive integer >1 |

`percent_features` |
what percentage of L do we subsample at each tree? Should be a proportion between (0,1) |

`K` |
interaction level |

### Value

If L is an integeter returns a probability value for selecting predictor Xj randomly

### Examples

```
calculateBinomialP_Interaction(110, .4,2 )
```

[Package

*binomialRF*version 0.1.0 Index]