complete {bnstruct} | R Documentation |

## Subset a `BNDataset`

to get only complete cases.

### Description

Given a `BNDataset`

, return a copy of the original object where
the `raw.data`

consists only in the observations that do not contain missing values.

### Usage

```
complete(x, complete.vars = seq_len(num.variables(x)))
## S4 method for signature 'BNDataset'
complete(x, complete.vars = seq_len(num.variables(x)))
```

### Arguments

`x` |
a |

`complete.vars` |
vector containing the indices of the variables to be considered
for the subsetting; variables not included in the vector can still contain |

### Details

Non-missingness can be required on a subset of variables (by default, on all variables).

If present, imputed data and bootstrap samples are eliminated from the
new `BNDataset`

, as using this method *after* using `impute`

or `bootstrap`

, there may likely be a loss of correspondence between
the subsetted `raw.data`

and the previously generated `imputed.data`

and `bootstrap`

samples.

### Value

a copy of the original `BNDataset`

containing only complete observations.

[Package

*bnstruct*version 1.0.15 Index]