bootkde {bda} | R Documentation |

## Density estimation for data with rounding errors

### Description

To estimate density function based on data with rounding errors.

### Usage

```
bootkde(x,freq,a,b,from, to, gridsize=512L,method='boot')
```

### Arguments

`x` , `freq` |
raw data if 'freq' missing, otherwise as distinct values with frequencies. |

`a` , `b` |
the lower and upper bounds of the rounding error. |

`from` , `to` , `gridsize` |
start point, end point and size of a fine grid where the distribution will be evaluated. |

`method` |
type estimate: "mle" or "Berkson", or "boot" (default). |

### Value

`y` |
Estimated values of the smooth function over a fine grid. |

`x` |
grid points where the smoothed function are evaluated. |

`pars` |
return 'bw' for Berkson method, or return the mean and SD for MLE method |

### References

Wang, B and Wertelecki, W, (2013) Computational Statistics and Data Analysis, 65: 4-12.

### Examples

```
#data(ofc)
#x0 = round(ofc$Head)
x0 = round(rnorm(100,34.5,1.6))
fx1 = bootkde(x0,a=-0.5,b=0.5,method="Berkson")
```

[Package

*bda*version 18.2.2 Index]