exact.kde {eHDPrep} | R Documentation |

## Exact kernel density estimation

### Description

Calculates KDE for a set of points exactly, rather than an approximation as per the density() core function.

### Usage

```
exact.kde(x, bw, output.domain = x, na.rm = FALSE)
```

### Arguments

`x` |
A numeric vector of values |

`bw` |
The bandwidth to use - either a single value, or a vector of
values the same length as |

`output.domain` |
The domain of values over which to estimate the
density. Defaults to |

`na.rm` |
Remove missing values if |

### Details

Only tractable for around 10,000 data points or less - otherwise consider using the density() core function for a close approximation.

The density() core function approximation is normally a very good approximation, but some small values close to zero may become zero rather than just very small. This makes it less suitable for mutual information estimation.

### Value

The exact kernel density estimate as a `density`

object,
compatible with **R**'s `density`

function.

### Author(s)

Alexander Lyulph Robert Lubbock, Ian Overton

*eHDPrep*version 1.3.3 Index]